Shape in Medical Imaging International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings /
Shape in Medical Imaging International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings / [electronic resource] :
edited by Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Marcel Lüthi, Bernhard Egger.
- 1st ed. 2018.
- XII, 312 p. 147 illus., 140 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11167 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11167 .
This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical applications, e.g., from the fields of geometric learning or spectral shape analysis. .
9783030047474
10.1007/978-3-030-04747-4 doi
Computer vision.
Medical informatics.
Artificial intelligence.
Computer networks .
Computer Vision.
Health Informatics.
Artificial Intelligence.
Computer Communication Networks.
TA1634
006.37
This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018. The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical applications, e.g., from the fields of geometric learning or spectral shape analysis. .
9783030047474
10.1007/978-3-030-04747-4 doi
Computer vision.
Medical informatics.
Artificial intelligence.
Computer networks .
Computer Vision.
Health Informatics.
Artificial Intelligence.
Computer Communication Networks.
TA1634
006.37