Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings

This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.
The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Zusammenfassung

This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.
The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Produktdetails

• Mitarbeit: Ta Arbel (Herausgeber), Tal Arbel (Herausgeber), Vasileios Belagiannis (Herausgeber), Andrew Bradley (Herausgeber), Jaime S. Cardoso (Herausgeber), M. Jorge Cardoso (Herausgeber), Gustavo Carneiro (Herausgeber), Gustavo Carneiro et al (Herausgeber), Hayit Greenspan (Herausgeber), Zhi Lu (Herausgeber), Anant Madabhushi (Herausgeber), Anant Madabushi (Herausgeber), Mehdi Moradi (Herausgeber), Jacinto C. Nascimento (Herausgeber), João Paulo Papa (Herausgeber), Tanveer Syeda-Mahmood (Herausgeber), João Manuel R. S. Tavares (Herausgeber), João Manuel R.S. Tavares (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 01.01.2017
• EAN: 9783319675572
• ISBN: 978-3-31-967557-2
• Seiten: 385
• Abmessung: 162 mm x 23 mm x 236 mm
• Gewicht: 641 g
• Illustration: XIX, 385 p. 169 illus.
• Serien: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Anwendungs-Software; C, Künstliche Intelligenz, Artificial Intelligence, DV-gestützte Biologie/Bioinformatik, Rechnerarchitektur und Logik-Entwurf, Computeranwendungen in Industrie und Technologie, computer science, bioinformatics, Neural Networks, Computer Vision, Health Informatics, Image Processing and Computer Vision, Life sciences: general issues, Health & safety aspects of IT, Information technology: general issues, Optical data processing, Medical imaging, Computational and Systems Biology, Computational Biology/Bioinformatics, Computer architecture & logic design, Logic Design, Support Vector Machines (SVM), segmentation methods