Data Segmentation and Model Selection for Computer Vision, Alireza Bab-Hadiashar; David Suter

Автор: Menze
Название: Medical Computer Vision: Algorithms for Big Data
ISBN: 3319420151 ISBN-13(EAN): 9783319420158
Издательство: Springer
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Цена: 39130.00 T
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Описание: This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.

Автор: Bjoern Menze; Georg Langs; Albert Montillo; Michae
Название: Medical Computer Vision. Large Data in Medical Imaging
ISBN: 3319055291 ISBN-13(EAN): 9783319055299
Издательство: Springer
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Цена: 58690.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013.

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: 186330.00 T
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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.