Multimodal Learning For Clinical Decision Support

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Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

Author : Tanveer Syeda-Mahmood
Publisher : Springer Nature
ISBN 13 : 3030609464
Total Pages : 147 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures by : Tanveer Syeda-Mahmood

Download or read book Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures written by Tanveer Syeda-Mahmood and published by Springer Nature. This book was released on 2020-10-03 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Multimodal Learning for Clinical Decision Support

Author : Tanveer Syeda-Mahmood
Publisher : Springer Nature
ISBN 13 : 3030898474
Total Pages : 125 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Multimodal Learning for Clinical Decision Support by : Tanveer Syeda-Mahmood

Download or read book Multimodal Learning for Clinical Decision Support written by Tanveer Syeda-Mahmood and published by Springer Nature. This book was released on 2021-10-19 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Author : M. Jorge Cardoso
Publisher : Springer
ISBN 13 : 3319675583
Total Pages : 385 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by : M. Jorge Cardoso

Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by M. Jorge Cardoso and published by Springer. This book was released on 2017-09-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Author : Danail Stoyanov
Publisher : Springer
ISBN 13 : 3030008894
Total Pages : 401 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by : Danail Stoyanov

Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by Danail Stoyanov and published by Springer. This book was released on 2018-09-19 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

Author : Kenji Suzuki
Publisher : Springer Nature
ISBN 13 : 3030338509
Total Pages : 93 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support by : Kenji Suzuki

Download or read book Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support written by Kenji Suzuki and published by Springer Nature. This book was released on 2019-10-24 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

Medical Content-Based Retrieval for Clinical Decision Support

Author : Hayit Greenspan
Publisher : Springer
ISBN 13 : 3642366783
Total Pages : 153 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Hayit Greenspan

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Hayit Greenspan and published by Springer. This book was released on 2013-02-20 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.

Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging

Download Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging PDF Online Free

Author : John S. H. Baxter
Publisher : Springer Nature
ISBN 13 : 3031232232
Total Pages : 144 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging by : John S. H. Baxter

Download or read book Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging written by John S. H. Baxter and published by Springer Nature. This book was released on 2022-12-20 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topology plays in machine learning and data science.

Medical Content-Based Retrieval for Clinical Decision Support

Author : Henning Müller
Publisher : Springer
ISBN 13 : 3642117694
Total Pages : 130 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Henning Müller

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Henning Müller and published by Springer. This book was released on 2010-02-04 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Advances in Artificial Intelligence

Author : Kunal Pal
Publisher : Elsevier
ISBN 13 : 0443153922
Total Pages : 632 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Advances in Artificial Intelligence by : Kunal Pal

Download or read book Advances in Artificial Intelligence written by Kunal Pal and published by Elsevier. This book was released on 2024-06-03 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices. Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used Provides an understanding of the design of experiments to validate the developed algorithms Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Author : Ben Othman Soufiene
Publisher : CRC Press
ISBN 13 : 1003805671
Total Pages : 270 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning and Deep Learning Techniques for Medical Image Recognition by : Ben Othman Soufiene

Download or read book Machine Learning and Deep Learning Techniques for Medical Image Recognition written by Ben Othman Soufiene and published by CRC Press. This book was released on 2023-12-01 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. Features: Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathology Covers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging.

Deep Learning for Medical Decision Support Systems

Author : Utku Kose
Publisher : Springer Nature
ISBN 13 : 981156325X
Total Pages : 185 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Deep Learning for Medical Decision Support Systems by : Utku Kose

Download or read book Deep Learning for Medical Decision Support Systems written by Utku Kose and published by Springer Nature. This book was released on 2020-06-17 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.

Biomedical Image Synthesis and Simulation

Author : Ninon Burgos
Publisher : Academic Press
ISBN 13 : 0128243503
Total Pages : 676 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Biomedical Image Synthesis and Simulation by : Ninon Burgos

Download or read book Biomedical Image Synthesis and Simulation written by Ninon Burgos and published by Academic Press. This book was released on 2022-06-18 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future. Gives state-of-the-art methods in (bio)medical image synthesis Explains the principles (background) of image synthesis methods Presents the main applications of biomedical image synthesis methods

State of the Art in Neural Networks and Their Applications

Author : Jasjit Suri
Publisher : Elsevier
ISBN 13 : 0128199121
Total Pages : 328 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis State of the Art in Neural Networks and Their Applications by : Jasjit Suri

Download or read book State of the Art in Neural Networks and Their Applications written by Jasjit Suri and published by Elsevier. This book was released on 2022-11-29 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), including coverage of computer-aided classification, unified deep learning frameworks, 3D MRI, PET/CT, and more Covers deep learning cancer identification from histopathological images, medical image analysis, detection, segmentation and classification via AI

Medical Image Understanding and Analysis

Author : Moi Hoon Yap
Publisher : Springer Nature
ISBN 13 : 303166955X
Total Pages : 435 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Medical Image Understanding and Analysis by : Moi Hoon Yap

Download or read book Medical Image Understanding and Analysis written by Moi Hoon Yap and published by Springer Nature. This book was released on with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reshaping Environmental Science Through Machine Learning and IoT

Author : Gupta, Rajeev Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 459 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Reshaping Environmental Science Through Machine Learning and IoT by : Gupta, Rajeev Kumar

Download or read book Reshaping Environmental Science Through Machine Learning and IoT written by Gupta, Rajeev Kumar and published by IGI Global. This book was released on 2024-05-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).

Explainable Artificial Intelligence (XAI) in Healthcare

Author : Utku Kose
Publisher : CRC Press
ISBN 13 : 1040020453
Total Pages : 251 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Explainable Artificial Intelligence (XAI) in Healthcare by : Utku Kose

Download or read book Explainable Artificial Intelligence (XAI) in Healthcare written by Utku Kose and published by CRC Press. This book was released on 2024-04-23 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance and sustainability levels in the context of applications. Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable and reliable from the end user's perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of healthcare field. The authors offer different types of solutions, evaluation methods and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine and even drug discovery. They also point out the importance of user perspectives and value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare. This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.

Breast Imaging

Author : Michael Fuchsjäger
Publisher : Springer Nature
ISBN 13 : 3030949184
Total Pages : 453 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Breast Imaging by : Michael Fuchsjäger

Download or read book Breast Imaging written by Michael Fuchsjäger and published by Springer Nature. This book was released on 2022-10-31 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This superbly illustrated book provides a thorough, up-to-date overview of diagnostic breast imaging and therapy. Drs. Elizabeth Morris, Michael Fuchsjäger, and Thomas Helbich, three experts in the field, have collaborated with colleagues from their institutions and selected medical centers to share their expertise. The coverage ranges from basic information on imaging technologies and interventional equipment and how to use them optimally to the application of advanced high-end techniques for screening and assessment in any given professional environment. Readers will find clear instruction on the various breast interventional procedures guided by stereotaxis, ultrasound, and magnetic resonance imaging in wide clinical use. The management of patients with ductal carcinoma in situ and high-risk breast cancer is considered separately. Furthermore, the role of minimally invasive therapy is examined, and advice is provided on post-therapy evaluation, including breast implants. A comprehensive diagnostic atlas with hundreds of images completes this volume and addresses the spectrum of various clinical situations.