Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
Springer International Publishing (Verlag)
978-3-319-67557-2 (ISBN)
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.
| Erscheinungsdatum | 19.10.2017 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XIX, 385 p. 169 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 615 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | Applications • Artificial Intelligence • classification • classification accuracy • Computer Architecture • computerized tomography • Computer Science • computer vision • conference proceedings • graph theory • Image Analysis • Image Processing • image processing and computer vision • image reconstruction • Image Registration • Image Segmentation • Informatics • Learning Algorithms • Learning Systems • Mammography • Medical Imaging • Neural networks • Research • segmentation methods • Support Vector Machines (SVM) |
| ISBN-10 | 3-319-67557-5 / 3319675575 |
| ISBN-13 | 978-3-319-67557-2 / 9783319675572 |
| Zustand | Neuware |
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