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Medical Computer Visionalgorithms for Big Data
. Ed(S): Menze, Bjoern; Langs, Georg; Montillo, Albert; Kelm, Michael; Muller, Henning; Zhang, Shaoting; Cai, Weidong; Metaxas, Dimitris N.
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Description for Medical Computer Visionalgorithms for Big Data
Paperback. Editor(s): Menze, Bjoern; Langs, Georg; Montillo, Albert; Kelm, Michael; Muller, Henning; Zhang, Shaoting; Cai, Weidong; Metaxas, Dimitris N. Series: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics. Num Pages: 222 pages, 78 black & white illustrations, biography. BIC Classification: UGK; UML; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 12. Weight in Grams: 349.
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and "big data" algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The ... Read more
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and "big data" algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
222
Condition
New
Series
Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Gra
Number of Pages
211
Place of Publication
Cham, Switzerland
ISBN
9783319139715
SKU
V9783319139715
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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