Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, Ayman S. El-Baz; Rajendra Acharya U; Majid Mirmehd

Автор: Dagmar Kainmueller
Название: Deformable Meshes for Medical Image Segmentation
ISBN: 3658070145 ISBN-13(EAN): 9783658070144
Издательство: Springer
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Цена: 9141.00 р.
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Описание: ГЇВїВЅ Segmentation of anatomical structures in medical image data is an essential task in clinical practice. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data.

Автор: A. Ardeshir Goshtasby
Название: Image Registration
ISBN: 1447157990 ISBN-13(EAN): 9781447157991
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book presents a detailed guide to image registration. It details the principles behind a vast array of tools and methods as well as compares their performances using synthetic and real data.

Автор: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr
Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation
ISBN: 3319475231 ISBN-13(EAN): 9783319475233
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Автор: Schmidt-Richberg
Название: Registration Methods for Pulmonary Image Analysis
ISBN: 3658016612 ISBN-13(EAN): 9783658016616
Издательство: Springer
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Цена: 12157.00 р.
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Описание: 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.

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Название: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

Автор: S. Kamaledin Setarehdan; Sameer Singh
Название: Advanced Algorithmic Approaches to Medical Image Segmentation
ISBN: 1447110439 ISBN-13(EAN): 9781447110439
Издательство: Springer
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Цена: 27950.00 р.
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Описание: 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.