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Title: DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT
THIRD INTERNATIONAL WORKSHOP, DLMIA 2017, AND 6TH INTERNATIONAL WORKSHOP, ML-CDS 2017, HELD IN CONJUNCTION WITH MICCAI 2017, QUEBEC CITY, QC, CANADA, SEPTEMBER 14, PROCEEDINGS
By: M. Jorge Cardoso (Editor), Tal Arbel (Editor), Gustavo Carneiro (Editor)
Format: Paperback

List price: £54.99
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ISBN 10: 3319675575
ISBN 13: 9783319675572
Availability: Usually dispatched within 1-3 weeks.
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Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 16 October, 2017
Series: Lecture Notes in Computer Science 10553
Pages: 347
Synopsis: 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 Quebec 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 from numerous submissions. 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.
Illustrations: 169 Illustrations, black and white; XVI, 347 p. 169 illus.
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
Some other items by this author:
BAYESIAN AND GRAPHICAL MODELS FOR BIOMEDICAL IMAGING (PB)
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COMPUTER ASSISTED AND ROBOTIC ENDOSCOPY AND CLINICAL IMAGE-BASED PROCEDURES (PB)
DEEP LEARNING AND DATA LABELING FOR MEDICAL APPLICATIONS (PB)
FETAL, INFANT AND OPHTHALMIC MEDICAL IMAGE ANALYSIS (PB)
GRAPHS IN BIOMEDICAL IMAGE ANALYSIS, COMPUTATIONAL ANATOMY AND IMAGING GENETICS (PB)
INTRAVASCULAR IMAGING AND COMPUTER ASSISTED STENTING, AND LARGE-SCALE ANNOTATION OF BIOMEDICAL DATA AND EXPERT LABEL SYNTHESIS (PB)
MACHINE LEARNING WITH NOISY LABELS
MEDICAL COMPUTER VISION AND BAYESIAN AND GRAPHICAL MODELS FOR BIOMEDICAL IMAGING (PB)
MOLECULAR IMAGING, RECONSTRUCTION AND ANALYSIS OF MOVING BODY ORGANS, AND STROKE IMAGING AND TREATMENT (PB)
SEMANTICS FOR ROBOTIC MAPPING, PERCEPTION AND INTERACTION

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