Medical Image

Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures (repost)

Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures by Yefeng Zheng and Dorin Comaniciu
English | 2014 | ISBN: 1493905996 | 268 pages | PDF | 11,5 MB

Medical Image Understanding and Analysis: 21st Annual Conference  eBooks & eLearning

Posted by Jeembo at Oct. 16, 2017
Medical Image Understanding and Analysis: 21st Annual Conference

Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings by María Valdés Hernández, Víctor González-Castro
English | 2017 | ISBN: 3319609637 | 950 Pages | PDF | 191.1 MB

This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.
VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

João Manuel R.S. Tavares, R.M. Natal Jorge, "VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing"
English | EPUB | 2017 (2018 Edition) | 1164 Pages | ISBN : 331968194X | 28 MB

Medical Image Watermarking: Techniques and Applications  eBooks & eLearning

Posted by AvaxGenius at Aug. 11, 2017
Medical Image Watermarking: Techniques and Applications

Medical Image Watermarking: Techniques and Applications By Amit Kumar Singh, Basant Kumar, Ghanshyam Singh, Anand Mohan
English | PDF | 2017 | 263 Pages | ISBN : 3319576984 | 7.17 MB

This book presents medical image watermarking techniques and algorithms for telemedicine and other emerging applications. This book emphasizes on medical image watermarking to ensure the authenticity of transmitted medical information. It begins with an introduction of digital watermarking, important characteristics, novel applications, different watermarking attacks and standard benchmark tools. This book also covers spatial and transform domain medical image watermarking techniques and their merits and limitations.

Deep Learning and Convolutional Neural Networks for Medical Image Computing  eBooks & eLearning

Posted by ksveta6 at Aug. 11, 2017
Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition) by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
2017 | ISBN: 3319429981 | English | 326 pages | PDF | 14 MB
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016, Part II

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II by Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells
English | 2016 | ISBN: 3319467220 | 703 Pages | PDF | 231.6 MB

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016, Part I

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I by Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells
English | 2016 | ISBN: 3319467190 | 681 Pages | PDF | 217.2 MB

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.

Deep Learning and Convolutional Neural Networks for Medical Image Computing  eBooks & eLearning

Posted by AvaxGenius at July 15, 2017
Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets By Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
English | PDF | 2017 | 327 Pages | ISBN : 3319429981 | 13.71 MB

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples.

Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques (Repost)  eBooks & eLearning

Posted by nebulae at July 10, 2017
Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques (Repost)

Tamalika Chaira, "Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques"
English | ISBN: 1498700454 | 2015 | 236 pages | PDF | 32 MB

Cloud-Based Benchmarking of Medical Image Analysis  eBooks & eLearning

Posted by AvaxGenius at May 17, 2017
Cloud-Based Benchmarking of Medical Image Analysis

Cloud-Based Benchmarking of Medical Image Analysis By Allan Hanbury, Henning Müller, Georg Langs
English | PDF | 2017 | 256 Pages | ISBN : 3319496425 | 10.18 MB

This book presents the VISCERAL project benchmarks for analysis and retrieval of 3D medical images (CT and MRI) on a large scale, which used an innovative cloud-based evaluation approach where the image data were stored centrally on a cloud infrastructure and participants placed their programs in virtual machines on the cloud.