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Head And Neck Tumor Segmentation And Outcome Prediction
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Book Synopsis Head and Neck Tumor Segmentation and Outcome Prediction by : Vincent Andrearczyk
Download or read book Head and Neck Tumor Segmentation and Outcome Prediction written by Vincent Andrearczyk and published by Springer Nature. This book was released on 2022-03-12 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the Second 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic. The 29 contributions presented, as well as an overview paper, were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 325 delineated PET/CT images was made available for training.
Book Synopsis Head and Neck Tumor Segmentation and Outcome Prediction by : Vincent Andrearczyk
Download or read book Head and Neck Tumor Segmentation and Outcome Prediction written by Vincent Andrearczyk and published by Springer Nature. This book was released on 2023-03-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022. The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training.
Book Synopsis Head and Neck Tumor Segmentation by : Vincent Andrearczyk
Download or read book Head and Neck Tumor Segmentation written by Vincent Andrearczyk and published by Springer Nature. This book was released on 2021-01-12 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic. The 2 full and 8 short papers presented together with an overview paper in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.
Book Synopsis Machine Learning in Radiation Oncology by : Issam El Naqa
Download or read book Machine Learning in Radiation Oncology written by Issam El Naqa and published by Springer. This book was released on 2015-06-19 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 by : Anne L. Martel
Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 written by Anne L. Martel and published by Springer Nature. This book was released on 2020-10-02 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography
Book Synopsis Data Management, Analytics and Innovation by : Neha Sharma
Download or read book Data Management, Analytics and Innovation written by Neha Sharma and published by Springer Nature. This book was released on 2021-08-04 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Book Synopsis Contouring in Head and Neck Cancer by : Peter C. Levendag
Download or read book Contouring in Head and Neck Cancer written by Peter C. Levendag and published by Elsevier,Urban&FischerVerlag. This book was released on 2009 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert
Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Book Synopsis Nuclear Oncology by : H. William Strauss
Download or read book Nuclear Oncology written by H. William Strauss and published by Springer Science & Business Media. This book was released on 2012-11-27 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the reader with a comprehensive understanding of both the basic principles and the clinical applications of nuclear oncology imaging techniques. The authors have assembled a distinguished group of leaders in the field who provide valuable insight on the subject. The book also includes major chapters on the cancer patient and the pathophysiology of abnormal tissue, the evaluation of co-existing disease, and the diagnosis and therapy of specific tumors using functional imaging studies. Each chapter is heavily illustrated to assist the reader in understanding the clinical role of nuclear oncology in cancer disease therapy and management.
Book Synopsis Brain Tumor Imaging by : Elke Hattingen
Download or read book Brain Tumor Imaging written by Elke Hattingen and published by Springer. This book was released on 2015-09-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the basics, the challenges and the limitations of state of the art brain tumor imaging and examines in detail its impact on diagnosis and treatment monitoring. It opens with an introduction to the clinically relevant physical principles of brain imaging. Since MR methodology plays a crucial role in brain imaging, the fundamental aspects of MR spectroscopy, MR perfusion and diffusion-weighted MR methods are described, focusing on the specific demands of brain tumor imaging. The potential and the limits of new imaging methodology are carefully addressed and compared to conventional MR imaging. In the main part of the book, the most important imaging criteria for the differential diagnosis of solid and necrotic brain tumors are delineated and illustrated in examples. A closing section is devoted to the use of MR methods for the monitoring of brain tumor therapy. The book is intended for radiologists, neurologists, neurosurgeons, oncologists and other scientists in the biomedical field with an interest in neuro-oncology.
Book Synopsis Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by : Hayit Greenspan
Download or read book Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 written by Hayit Greenspan and published by Springer Nature. This book was released on 2023-09-30 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Book Synopsis Head and Neck Cancer Imaging by : Robert Hermans
Download or read book Head and Neck Cancer Imaging written by Robert Hermans and published by Springer Science & Business Media. This book was released on 2012-01-20 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imaging is crucial in the multidisciplinary approach to head and neck cancer management. The rapid technological development of recent years makes it necessary for all members of the multidisciplinary team to understand the potential applications, limitations, and advantages of existing and evolving imaging technologies. It is equally important that the radiologist has sufficient clinical background knowledge to understand the clinical significance of imaging findings. This book provides an overview of the findings obtained using different imaging techniques during the evaluation of head and neck neoplasms, both before and after therapy. All anatomic areas in the head and neck are covered, and the impact of imaging on patient management is discussed in detail. The authors are recognized experts in the field, and numerous high-quality images are included. This second edition provides information on the latest imaging developments in this area, including the application of PET-CT and diffusion-weighted magnetic resonance imaging.
Book Synopsis Methods in Cancer Imaging and Image-directed Interventions by : Bahram Mohajer
Download or read book Methods in Cancer Imaging and Image-directed Interventions written by Bahram Mohajer and published by Frontiers Media SA. This book was released on 2023-11-08 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frontiers in Oncology is delighted to present the Methods in series of article collections. Methods in Cancer Imaging and Image-directed Interventions will publish high-quality methodical studies on key topics in the field. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. The Methods in Cancer Imaging and Image-directed Interventions collection aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in Cancer Imaging and Image-directed Interventions. Review Articles or Opinion Articles on methodologies or applications including the advantages and limitations of each are welcome. This Research Topic includes technologies and up-to-date methods which help aim to help advance science.
Book Synopsis 2019 IEEE 32nd International Symposium on Computer Based Medical Systems (CBMS) by : IEEE Staff
Download or read book 2019 IEEE 32nd International Symposium on Computer Based Medical Systems (CBMS) written by IEEE Staff and published by . This book was released on 2019-06-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: CBMS 2019 will provide an international forum to discuss the latest developments in the field of computational medicine, biomedical informatics and related fields During the CBMS symposium, there will be regular and special track (ST) sessions with technical contributions reviewed and selected by an international programme committee, as well as keynote talks and tutorials given by leading experts in their fields Regular and ST presentations will cover a broad range of issues in related to areas in the context of medical informatics, e Health, computer vision, healthcare games, software systems in medicine, big data analytics in healthcare, cognitive computing in healthcare, telemedicine systems, medical education, HCI in healthcare, web based medical information, active and healthy aging systems, technology in clinical and healthcare research, among others
Book Synopsis Prognosis in Head and Neck Cancer by : Robert J. Baatenburg de Jong
Download or read book Prognosis in Head and Neck Cancer written by Robert J. Baatenburg de Jong and published by CRC Press. This book was released on 2005-12-15 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on the factors that determine the course and prognosis of head and neck cancers has now reached the stage where a synoptic review is in order, to draw together those aspects that are of most importance for patient management. Oncologists and Otolaryngology / Head and Neck Surgeons alike will benefit greatly from this distillation of the clinically relevant aspects of the subject.
Book Synopsis Adaptive Radiation Therapy by : X. Allen Li
Download or read book Adaptive Radiation Therapy written by X. Allen Li and published by CRC Press. This book was released on 2011-01-27 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern medical imaging and radiation therapy technologies are so complex and computer driven that it is difficult for physicians and technologists to know exactly what is happening at the point-of-care. Medical physicists responsible for filling this gap in knowledge must stay abreast of the latest advances at the intersection of medical imaging and radiation therapy. This book provides medical physicists and radiation oncologists current and relevant information on Adaptive Radiation Therapy (ART), a state-of-the-art approach that uses a feedback process to account for patient-specific anatomic and/or biological changes, thus delivering highly individualized radiation therapy for cancer patients. The book should also benefit medical dosimetrists and radiation therapists. Adaptive Radiation Therapy describes technological and methodological advances in the field of ART, as well as initial clinical experiences using ART for selected anatomic sites. Divided into three sections (radiobiological basis, current technologies, and clinical applications), the book covers: Morphological and biological biomarkers for patient-specific planning Design and optimization of treatment plans Delivery of IMRT and IGRT intervention methodologies of ART Management of intrafraction variations, particularly with respiratory motion Quality assurance needed to ensure the safe delivery of ART ART applications in several common cancer types / anatomic sites The technology and methodology for ART have advanced significantly in the last few years and accumulated clinical data have demonstrated the need for ART in clinical settings, assisted by the wide application of intensity modulated radiation therapy (IMRT) and image-guided radiation therapy (IGRT). This book shows the real potential for supplying every patient with individualized radiation therapy that is maximally accurate and precise.
Book Synopsis Predictive Intelligence in Medicine by : Islem Rekik
Download or read book Predictive Intelligence in Medicine written by Islem Rekik and published by Springer. This book was released on 2021-09-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in October 2021.* The 25 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine. *The workshop was held virtually.
