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VipIMAGE 2017 (Repost)

Posted By: AvaxGenius
VipIMAGE 2017 (Repost)

VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 By João Manuel R.S. Tavares, R.M. Natal Jorge
English | PDF | 2017 (2018 Edition) | 1164 Pages | ISBN : 331968194X | 328.5 MB

This book gathers papers presented at the VipIMAGE 2017-VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 18–20, 2017.

VipIMAGE 2017 (Repost)

Posted By: AvaxGenius
VipIMAGE 2017 (Repost)

VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 By João Manuel R.S. Tavares, R.M. Natal Jorge
English | PDF | 2017 (2018 Edition) | 1164 Pages | ISBN : 331968194X | 328.5 MB

This book gathers papers presented at the VipIMAGE 2017-VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 18–20, 2017.
Signal Processing snakes Computational Vision grabcut Telemedicine Medical Imaging Computational Mechanics Image Segmentation finite element method statistical Mathematics Medicine Compression Biomechanics multi-objective optimization expectation maximization Development Biology Data Interpolation Physics physical modelling Image Enhancement Therapy fuzzy morphology Medical Rehabilitation Image Processing and Analysis variational methods Treatment scale invariant feature transform Science Programming Computer Sciences Analysis geometrical Algorithms Patterns Laws’ texture-energy measures bilateral filtering Markov Biomedical Engineering Acquisition Genetics image processing and analysis Engineering region growing Registration Industrial Inspection Computer Aided Diagnosis Surgery Technology trainable filters wavelet transform