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


¬арианты приобретени€
÷ена: 19224р.
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јвтор: El-Baz
Ќазвание:  Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
»здательство: Springer
 лассификаци€:
ћедицинское оборудование и методы
ќнкологи€
ћедицинска€ радиологи€
–ентгенологи€
Ѕиомедицинска€ техника

ISBN: 1441981942
ISBN-13(EAN): 9781441981943
ISBN: 1-441-98194-2
ISBN-13(EAN): 978-1-441-98194-3
ќбложка/‘ормат: Hardback
—траницы: 422
¬ес: 0.839 кг.
ƒата издани€: 01.06.2011
язык: ENG
»ллюстрации: 125 black & white illustrations, 97 colour illustrations, 20 black & white tables
–азмер: 235 x 155 x 23
„итательска€ аудитори€: Professional & vocational
—сылка на »здательство: Link
–ейтинг:
ѕоставл€етс€ из: √ермании
ќписание: 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.
ƒополнительное описание:




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

јвтор: El-Baz
Ќазвание: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
ISBN: 1441982035 ISBN-13(EAN): 9781441982032
»здательство: Springer
–ейтинг:
÷ена: 17297 р.
Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.

ќписание: 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

јвтор: Kevin Zhou
Ќазвание: Medical Image Recognition, Segmentation and Parsing
ISBN: 0128025816 ISBN-13(EAN): 9780128025819
»здательство: Elsevier Science
–ейтинг:
÷ена: 8752 р. 9724.00 -10%
Ќаличие на складе: ѕоставка под заказ.

ќписание: 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.

Mathematical Models for Registration and Applications to Medical Imaging

јвтор: Otmar Scherzer
Ќазвание: Mathematical Models for Registration and Applications to Medical Imaging
ISBN: 3642064035 ISBN-13(EAN): 9783642064036
»здательство: Springer
–ейтинг:
÷ена: 13557 р.
Ќаличие на складе: ѕоставка под заказ.

ќписание: This volume gives a survey on mathematical and computational methods in image registration. During the last year sophisticated numerical models for registration and efficient numerical methods have been proposed. The book also summarizes the state-of-the-art in mathematical and computational methods in image registration.

Biomedical Image Segmentation, Adva

Ќазвание: Biomedical Image Segmentation, Adva
ISBN: 1482258552 ISBN-13(EAN): 9781482258554
»здательство: Taylor&Francis
–ейтинг:
÷ена: 20900 р.
Ќаличие на складе: ѕоставка под заказ.

ќписание: As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.

Registration Methods for Pulmonary Image Analysis

јвтор: Schmidt-Richberg
Ќазвание: Registration Methods for Pulmonary Image Analysis
ISBN: 3658016612 ISBN-13(EAN): 9783658016616
»здательство: Springer
–ейтинг:
÷ена: 8134 р.
Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.

ќписание: Various applications in the field of pulmonary image analysis require a registration of CT images of the lung. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images.

Multi-Modality Atherosclerosis Imaging and Diagnosis

јвтор: Saba
Ќазвание: Multi-Modality Atherosclerosis Imaging and Diagnosis
ISBN: 1461474248 ISBN-13(EAN): 9781461474241
»здательство: Springer
–ейтинг:
÷ена: 23282 р.
Ќаличие на складе: ѕоставка под заказ.

ќписание: This book fuses results of different imaging modalities to provide enhanced information about atherosclerotic plaque, improving the accuracy of the diagnosis. Covers new algorithms based on 3- and 4-D Ultrasound, and progress in plaque image fusion analysis.

Advanced Algorithmic Approaches to Medical Image Segmentation

јвтор: Suri
Ќазвание: Advanced Algorithmic Approaches to Medical Image Segmentation
ISBN: 1852333898 ISBN-13(EAN): 9781852333898
»здательство: Springer
–ейтинг:
÷ена: 21412 р.
Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.

ќписание: Provides a concise guide to the clinical and operational issues surrounding the management of the ballistic casualty. This book crystallises the knowledge and experience accrued by those dealing with ballistic trauma on a regular basis and extends this to those who have to manage these patients on an occasional basis only. Medical imaging is an important topic which is generally recognised as key to better diagnosis and patient care. This text focuses primarily on state-of-the-art model-based segmentation techniques which are applied to cardiac, brain, breast and microscopic cancer cell imaging.

Biomedical Image Registration

јвтор: Josien P.W. Pluim; Bo?tjan Likar; Frans A. Gerrits
Ќазвание: Biomedical Image Registration
ISBN: 3540356487 ISBN-13(EAN): 9783540356486
»здательство: Springer
–ейтинг:
÷ена: 7012 р.
Ќаличие на складе: ѕоставка под заказ.

ќписание: This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Biomedical Image Registration. The 20 revised full papers and 18 revised poster papers presented were carefully reviewed and selected for inclusion in the book. The papers cover all areas of biomedical image registration;

Mathematical Models for Registration and Applications to Medical Imaging

јвтор: Scherzer Otmar
Ќазвание: Mathematical Models for Registration and Applications to Medical Imaging
ISBN: 3540250298 ISBN-13(EAN): 9783540250296
»здательство: Springer
–ейтинг:
÷ена: 13557 р.
Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.

ќписание: This volume provides an up-to-date survey on mathematical and computational methods in image registration. This is an emerging topic in applied and computational science, with profund applications for instance in medicine, and image and video processing.Especially during the last year sophisticated numerical models for registration and efficient numerical methods (in particular variational methods and partial differential equations) have been proposed. Many of them are contained in this volume.Moreover, some practical applications and novel directions with industrial relevance in data processing are indicated. The combination of practice and novel mathematical aspects makes the book very suitable for the ECMI series "Mathematics in Industry".The most important contributions in this volume summarize the state of the art in mathematical and computational methods in image registration, based on variational and partial differential equations. The key contributions state sophisticated mathematical modelling, as well as numerical methods.The book contains many realistic examples with real world data.

Biomedical Image Registration

јвтор: Fischer
Ќазвание: Biomedical Image Registration
ISBN: 3642143652 ISBN-13(EAN): 9783642143656
»здательство: Springer
–ейтинг:
÷ена: 6544 р.
Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.

ќписание: This year 17 papers were accepted for oral presentation, while another 7 papers were accepted as poster papers. The conference papers address state-of-the-art techniques for prov- ing reliable and e?cient registration techniques, thereby imposing relationships between speci?c application areas and appropriate registration schemes.

Biomedical Image Registration

јвтор: Dawant
Ќазвание: Biomedical Image Registration
ISBN: 3642313396 ISBN-13(EAN): 9783642313394
»здательство: Springer
–ейтинг:
÷ена: 5609 р.
Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.

ќписание: This book constitutes the refereed proceedings of the 5th International Workshop on Biomedical Image Registration, WBIR 2012, held in Nashville, Tennessee, USA, in July 2012. The 20 full papers and 11 poster papers included in this volume were carefully reviewed and selected from 44 submitted papers. They full papers are organized in the following topical sections: multiple image sets; brain; non-rigid anatomy; and frameworks and similarity measures.

Handbook of Biomedical Image Analysis / Volume 2: Segmentation Models Part B

јвтор: Suri Jasjit S., Wilson David, Laxminarayan Swamy
Ќазвание: Handbook of Biomedical Image Analysis / Volume 2: Segmentation Models Part B
ISBN: 0306486059 ISBN-13(EAN): 9780306486050
»здательство: Springer
–ейтинг:
÷ена: 15890 р.
Ќаличие на складе: ≈сть у поставщика ѕоставка под заказ.

ќписание: With rapid advancements in technology, body imaging or components thereof, have become ubiquitous in medicine. While the biomedical devices such as the MRI, CT, X-rays, Ultrasound, PET/SPECT and Microscopy etc, provide us with high resolution images, the challenges that have continued to confront us with, lie in the interpretation of the vast amounts of data generated by these devices. Biomedical applications are the вАШbottom-lineвАЩ essentials in the diagnostic world. It is this diagnostic interpretation feature that forms the core niche for these books and will serve the needs of a broad spectrum of audience including researchers, research clinicians, and students.Together the three volumes will illustrate the role of the fusion of registration and segmentation systems for complete biomedical applications therapy delivery benefiting the biomedical doctors, clinical researchers, radiologists and others.


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