Journal
MEDICAL IMAGE ANALYSIS
Volume 42, Issue -, Pages 60-88Publisher
ELSEVIER
DOI: 10.1016/j.media.2017.07.005
Keywords
Deep learning; Convolutional neural networks; Medical imaging; Survey
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Funding
- Dutch Cancer Society [ICUN 2012-5577, ICUN 2014-7032, ICUN 2015-7970]
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Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year. We survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks. Concise overviews are provided of studies per application area: neuro, retinal, pulmonary, digital pathology, breast, cardiac, abdominal, musculoskeletal. We end with a summary of the current state-of-the-art, a critical discussion of open challenges and directions for future research. (C) 2017 Elsevier B.V. All rights reserved.
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