Multi Modality State Of The Art Medical Image Segmentation And Registration Methodologies

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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

Author : Ayman S. El-Baz
Publisher : Springer Science & Business Media
ISBN 13 : 1441982043
Total Pages : 369 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies by : Ayman S. El-Baz

Download or read book Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies written by Ayman S. El-Baz and published by Springer Science & Business Media. This book was released on 2011-04-11 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

Author : Ayman S. El-Baz
Publisher : Springer Science & Business Media
ISBN 13 : 1441981950
Total Pages : 415 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies by : Ayman S. El-Baz

Download or read book Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies written by Ayman S. El-Baz and published by Springer Science & Business Media. This book was released on 2011-05-04 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

Author : Ayman S. El-Baz
Publisher : Springer
ISBN 13 : 9781441981950
Total Pages : 410 pages
Book Rating : 4.9/5 (819 download)

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Book Synopsis Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies by : Ayman S. El-Baz

Download or read book Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies written by Ayman S. El-Baz and published by Springer. This book was released on 2011-05-04 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.

Medical Image Recognition, Segmentation and Parsing

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0128026766
Total Pages : 548 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Medical Image Recognition, Segmentation and Parsing by : S. Kevin Zhou

Download or read book Medical Image Recognition, Segmentation and Parsing written by S. Kevin Zhou and published by Academic Press. This book was released on 2015-12-11 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets Includes algorithms for recognizing and parsing of known anatomies for practical applications

Advanced Algorithmic Approaches to Medical Image Segmentation

Author : S. Kamaledin Setarehdan
Publisher : Springer Science & Business Media
ISBN 13 : 0857293338
Total Pages : 661 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Advanced Algorithmic Approaches to Medical Image Segmentation by : S. Kamaledin Setarehdan

Download or read book Advanced Algorithmic Approaches to Medical Image Segmentation written by S. Kamaledin Setarehdan and published by Springer Science & Business Media. This book was released on 2012-09-07 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.

Imaging and Interventional Radiology for Radiation Oncology

Author : Regina G.H. Beets-Tan
Publisher : Springer Nature
ISBN 13 : 3030382613
Total Pages : 525 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Imaging and Interventional Radiology for Radiation Oncology by : Regina G.H. Beets-Tan

Download or read book Imaging and Interventional Radiology for Radiation Oncology written by Regina G.H. Beets-Tan and published by Springer Nature. This book was released on 2020-08-10 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, edited by leading experts in radiology, nuclear medicine, and radiation oncology, offers a wide-ranging, state of the art overview of the specifics and the benefits of a multidisciplinary approach to the use of imaging in image-guided radiation treatments for different tumor types. The entire spectrum of the most important cancers treated by radiation are covered, including CNS, head and neck, lung, breast, gastrointestinal, genitourinary, and gynecological tumors. The opening sections of the book address background issues and a range of important technical aspects. Detailed information is then provided on the use of different imaging techniques for T staging and target volume delineation, response assessment, and follow-up in various parts of the body. The focus of the book ensures that it will be of interest for a multidisciplinary forum of readers comprising radiation oncologists, nuclear medicine physicians, radiologists and other medical professionals.

State of the Art in Neural Networks and Their Applications

Author : Ayman S. El-Baz
Publisher : Academic Press
ISBN 13 : 0128218495
Total Pages : 326 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis State of the Art in Neural Networks and Their Applications by : Ayman S. El-Baz

Download or read book State of the Art in Neural Networks and Their Applications written by Ayman S. El-Baz and published by Academic Press. This book was released on 2021-07-21 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. 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 are covered, including relevant case studies. 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 1 covers the state-of-the-art deep learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), with coverage of computer-aided classification, Unified Deep Learning Frameworks, mammography, fundus imaging, optical coherence tomography, cryo-electron tomography, 3D MRI, CT, and more Covers deep learning for several medical conditions including renal, retinal, breast, skin, and dental abnormalities, Medical Image Analysis, as well as detection, segmentation, and classification via AI

Robotics in Neurosurgery

Author : Jorge Alvaro González Martínez
Publisher : Springer Nature
ISBN 13 : 3031083806
Total Pages : 313 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Robotics in Neurosurgery by : Jorge Alvaro González Martínez

Download or read book Robotics in Neurosurgery written by Jorge Alvaro González Martínez and published by Springer Nature. This book was released on 2022-09-30 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a state-of-the art review of this field and demonstrates the basic applications of robotic surgery in the field of neurosurgery, exposing its basic principles, practical technical nuances, and advantages and limitations related to the technology. It also provides a concise yet comprehensive summary of the current status of the field that will help guide patient management and stimulate investigative efforts. All chapters are written by experts in their fields and include the most up to date scientific and clinical information. Robotics in Neurosurgery: Principles and Practice will serve as a valuable resource for clinicians, surgeons, engineers and researchers dealing with, and interested in, this challenging and promising field in robotics applied to neurosurgery.

New Approaches for Multidimensional Signal Processing

Author : Roumen Kountchev
Publisher : Springer Nature
ISBN 13 : 9819701090
Total Pages : 336 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis New Approaches for Multidimensional Signal Processing by : Roumen Kountchev

Download or read book New Approaches for Multidimensional Signal Processing written by Roumen Kountchev and published by Springer Nature. This book was released on with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2012

Author : Nicholas Ayache
Publisher : Springer
ISBN 13 : 3642334180
Total Pages : 718 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2012 by : Nicholas Ayache

Download or read book Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2012 written by Nicholas Ayache and published by Springer. This book was released on 2012-09-22 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 7510, 7511, and 7512 constitutes the refereed proceedings of the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012, held in Nice, France, in October 2012. Based on rigorous peer reviews, the program committee carefully selected 252 revised papers from 781 submissions for presentation in three volumes. The second volume includes 82 papers organized in topical sections on cardiovascular imaging: planning, intervention and simulation; image registration; neuroimage analysis; diffusion weighted imaging; image segmentation; computer-assisted interventions and robotics; and image registration: new methods and results.

Stochastic Modeling for Medical Image Analysis

Author : Ayman El-Baz
Publisher : CRC Press
ISBN 13 : 1466599081
Total Pages : 299 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Stochastic Modeling for Medical Image Analysis by : Ayman El-Baz

Download or read book Stochastic Modeling for Medical Image Analysis written by Ayman El-Baz and published by CRC Press. This book was released on 2015-11-18 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis.Today, image-guided computer-assisted diagnostics (CAD) faces two basic challenging problems. The first is the computationally feasible and accurate modeling of images from different modalities to obt

Finite Element Method and Medical Imaging Techniques in Bone Biomechanics

Author : Rabeb Ben Kahla
Publisher : John Wiley & Sons
ISBN 13 : 1786305186
Total Pages : 200 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Finite Element Method and Medical Imaging Techniques in Bone Biomechanics by : Rabeb Ben Kahla

Download or read book Finite Element Method and Medical Imaging Techniques in Bone Biomechanics written by Rabeb Ben Kahla and published by John Wiley & Sons. This book was released on 2020-01-02 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital models based on data from medical images have recently become widespread in the field of biomechanics. This book summarizes medical imaging techniques and processing procedures, both of which are necessary for creating bone models with finite element methods. Chapter 1 introduces the main principles and the application of the most commonly used medical imaging techniques. Chapter 2 describes the major methods and steps of medical image analysis and processing. Chapter 3 presents a brief review of recent studies on reconstructed finite element bone models, based on medical images. Finally, Chapter 4 reveals the digital results obtained for the main bone sites that have been targeted by finite element modeling in recent years.

Image Analysis

Author : Rasmus R. Paulsen
Publisher : Springer
ISBN 13 : 3319196650
Total Pages : 544 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Image Analysis by : Rasmus R. Paulsen

Download or read book Image Analysis written by Rasmus R. Paulsen and published by Springer. This book was released on 2015-06-08 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Scandinavian Conference on Image Analysis, SCIA 2015, held in Copenhagen, Denmark, in June 2015. The 45 revised papers presented were carefully reviewed and selected from 67 submissions. The contributions are structured in topical sections on novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision to medical and biomedical image analysis.

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.

Medical Image Registration

Author : Joseph V. Hajnal
Publisher : CRC Press
ISBN 13 : 1420042475
Total Pages : 394 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Medical Image Registration by : Joseph V. Hajnal

Download or read book Medical Image Registration written by Joseph V. Hajnal and published by CRC Press. This book was released on 2001-06-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid

Image and Graphics

Author : Yu-Jin Zhang
Publisher : Springer
ISBN 13 : 3319219634
Total Pages : 678 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Image and Graphics by : Yu-Jin Zhang

Download or read book Image and Graphics written by Yu-Jin Zhang and published by Springer. This book was released on 2015-08-03 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 8th International Conference on Image and Graphics, ICIG 2015 held in Tianjin, China, in August 2015. The 164 revised full papers and 6 special issue papers were carefully reviewed and selected from 339 submissions. The papers focus on various advances of theory, techniques and algorithms in the fields of images and graphics.

Big Data in Multimodal Medical Imaging

Author : Ayman El-Baz
Publisher : CRC Press
ISBN 13 : 1351380737
Total Pages : 330 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Big Data in Multimodal Medical Imaging by : Ayman El-Baz

Download or read book Big Data in Multimodal Medical Imaging written by Ayman El-Baz and published by CRC Press. This book was released on 2019-11-05 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.