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Machine Learning in Medical Imaging
. Ed(S): Wu, Guorong; Zhang, Daoqiang
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Description for Machine Learning in Medical Imaging
Paperback. Editor(s): Wu, Guorong; Zhang, Daoqiang. Series: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics. Num Pages: 344 pages, 136 black & white illustrations, biography. BIC Classification: MMP; UYQM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 528.
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
344
Condition
New
Series
Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Gra
Number of Pages
332
Place of Publication
Cham, Switzerland
ISBN
9783319105802
SKU
V9783319105802
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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