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Deformable Meshes for Medical Image Segmentation, Dagmar Kainmueller


Âàðèàíòû ïðèîáðåòåíèÿ
Öåíà: 9141.00ð.
Êîë-âî:
Íàëè÷èå: Ïîñòàâêà ïîä çàêàç.  Åñòü â íàëè÷èè íà ñêëàäå ïîñòàâùèêà.
Ñêëàä Àìåðèêà: Åñòü  
Ïðè îôîðìëåíèè çàêàçà äî: 2025-07-28
Îðèåíòèðîâî÷íàÿ äàòà ïîñòàâêè: Àâãóñò-íà÷àëî Ñåíòÿáðÿ
Ïðè óñëîâèè íàëè÷èÿ êíèãè ó ïîñòàâùèêà.

Äîáàâèòü â êîðçèíó
â Ìîè æåëàíèÿ

Àâòîð: Dagmar Kainmueller
Íàçâàíèå:  Deformable Meshes for Medical Image Segmentation
ISBN: 9783658070144
Èçäàòåëüñòâî: Springer
Êëàññèôèêàöèÿ:

ISBN-10: 3658070145
Îáëîæêà/Ôîðìàò: Paperback
Ñòðàíèöû: 180
Âåñ: 0.25 êã.
Äàòà èçäàíèÿ: 29.08.2014
Ñåðèÿ: Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering
ßçûê: English
Ðàçìåð: 210 x 148 x 11
Îñíîâíàÿ òåìà: Computer Science
Ïîäçàãîëîâîê: Accurate Automatic Segmentation of Anatomical Structures
Ññûëêà íà Èçäàòåëüñòâî: Link
Ðåéòèíã:
Ïîñòàâëÿåòñÿ èç: Ãåðìàíèè
Îïèñàíèå: � 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.


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

Àâòîð: Ayman S. El-Baz; Rajendra Acharya U; Majid Mirmehd
Íàçâàíèå: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
ISBN: 1489978135 ISBN-13(EAN): 9781489978134
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 28732.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: Advances in image-guided cancer surgery have enlarged the role of image segmentation and registration. This book reviews current methodologies, to help physicians delineate anatomical structures, enhance the accuracy of diagnosis and improve treatment planning.

Reconstruction, Segmentation, and Analysis of Medical Images

Àâòîð: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Íàçâàíèå: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 6986.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Hybrid Soft Computing for Image Segmentation

Àâòîð: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Íàçâàíèå: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 15372.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: 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.

Genetic Learning for Adaptive Image Segmentation

Àâòîð: Bir Bhanu; Sungkee Lee
Íàçâàíèå: Genetic Learning for Adaptive Image Segmentation
ISBN: 1461361982 ISBN-13(EAN): 9781461361985
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 20962.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc.

Genetic Learning for Adaptive Image Segmentation

Àâòîð: Bir Bhanu; Sungkee Lee
Íàçâàíèå: Genetic Learning for Adaptive Image Segmentation
ISBN: 0792394917 ISBN-13(EAN): 9780792394914
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 27944.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc.

Video Segmentation and Its Applications

Àâòîð: King Ngi Ngan; Hongliang Li
Íàçâàíèå: Video Segmentation and Its Applications
ISBN: 1489994661 ISBN-13(EAN): 9781489994660
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 16977.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: This book presents the latest advances in video segmentation and analysis techniques and covers the theoretical approaches, real applications and methods developed in the computer vision and video analysis community.

Segmentation of Hand Bone for Bone Age Assessment

Àâòîð: Yan Chai Hum
Íàçâàíèå: Segmentation of Hand Bone for Bone Age Assessment
ISBN: 9814451657 ISBN-13(EAN): 9789814451659
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 9794.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme.

Segmentation and Recovery of Superquadrics

Àâòîð: Ales Jaklic; Ales Leonardis; F. Solina
Íàçâàíèå: Segmentation and Recovery of Superquadrics
ISBN: 0792366018 ISBN-13(EAN): 9780792366010
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 20537.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: This work covers the geometric properties of superquadrics, primarily the recovery and segmentation of superquadrics from range images. Applications of superquadrics in computer vision and robotics are discussed and the use of superquadrics for range image registration is demonstrated.

Filtering, Segmentation and Depth

Àâòîð: Mark Nitzberg; David Mumford; Takahiro Shiota
Íàçâàíèå: Filtering, Segmentation and Depth
ISBN: 3540564845 ISBN-13(EAN): 9783540564843
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 9781.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: An exploration of computer vision which addresses the low-level image processing issues of noise removal and smoothing, describes a robust contour tracing algorithm that produces a cartoon of the important lines in any image, and explains how to reconstruct the geometry of objects in a scene.

Deformable Avatars

Àâòîð: Nadia Magnenat-Thalmann; Daniel Thalmann
Íàçâàíèå: Deformable Avatars
ISBN: 1475749309 ISBN-13(EAN): 9781475749304
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 20962.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: Deformable avatars are virtual humans that deform themselves during motion. The research requires models for capturing of geometrie and kinematic data, the synthesis of the realistic human shape and motion, the parametrisation and motion retargeting, and several appropriate deformation models.

Graphical Simulation of Deformable Models

Àâòîð: Cai
Íàçâàíèå: Graphical Simulation of Deformable Models
ISBN: 3319510304 ISBN-13(EAN): 9783319510309
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 13275.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå:

This book covers dynamic simulation of deformable objects, which is one of the most challenging tasks in computer graphics and visualization. It focuses on the simulation of deformable models with anisotropic materials, one of the less common approaches in the existing research. Both physically-based and geometrically-based approaches are examined.
The authors start with transversely isotropic materials for the simulation of deformable objects with fibrous structures. Next, they introduce a fiber-field incorporated corotational finite element model (CLFEM) that works directly with a constitutive model of transversely isotropic material. A smooth fiber-field is used to establish the local frames for each element.
To introduce deformation simulation for orthotropic materials, an orthotropic deformation controlling frame-field is conceptualized and a frame construction tool is developed for users to define the desired material properties. The orthotropic frame-field is coupled with the CLFEM model to complete an orthotropic deformable model.
Finally, the authors present an integrated real-time system for animation of skeletal characters with anisotropic tissues. To solve the problems of volume distortion and high computational costs, a strain-based PBD framework for skeletal animation is explained; natural secondary motion of soft tissues is another benefit.
The book is written for those researchers who would like to develop their own algorithms. The key mathematical and computational concepts are presented together with illustrations and working examples. It can also be used as a reference book for graduate students and senior undergraduates in the areas of computer graphics, computer animation, and virtual reality. Academics, researchers, and professionals will find this to be an exceptional resource.
Deformable Models

Àâòîð: Aly Farag
Íàçâàíèå: Deformable Models
ISBN: 1489997067 ISBN-13(EAN): 9781489997067
Èçäàòåëüñòâî: Springer
Ðåéòèíã:
Öåíà: 41787.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: This book covers the complete spectrum of deformable models, its evolution as an imagery field and its use in many biomedical engineering and clinical application disciplines. It includes level sets, PDEs, curve and surface evolution and their applications in biomedical fields covering both static and motion imagery.


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