A survey on deep learning in medical image analysis

Medical Image Analysis

Volumn 42, Issue , 2017, Pages 60-88

  Litjens, Geert ^a   Kooi, Thijs ^a   Bejnordi, Babak Ehteshami ^a   Setio, Arnaud Arindra Adiyoso ^a   Ciompi, Francesco ^a   Ghafoorian, Mohsen ^a   van der Laak, Jeroen A W M ^a   van Ginneken, Bram ^a   Sánchez, Clara I ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Convolutional neural networks; Deep learning; Medical imaging; Survey

Indexed keywords

CONVOLUTION; IMAGE SEGMENTATION; LEARNING ALGORITHMS; MEDICAL IMAGING; NEURAL NETWORKS; OBJECT DETECTION; SURVEYING; SURVEYS;

APPLICATION AREA; CONVOLUTIONAL NETWORKS; CONVOLUTIONAL NEURAL NETWORK; CRITICAL DISCUSSIONS; DIGITAL PATHOLOGIES; STATE OF THE ART;

DEEP LEARNING;

ABDOMEN; ANATOMIC LANDMARK; ARTIFICIAL NEURAL NETWORK; BRAIN; BREAST; CLASSIFICATION; COMPUTER; DIAGNOSTIC IMAGING; DIGITAL IMAGING; EYE; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; IMAGE SEGMENTATION; LEARNING; LEARNING ALGORITHM; PRIORITY JOURNAL; REGISTRATION; REVIEW; SOFTWARE; THORAX; UNSUPERVISED MACHINE LEARNING; ALGORITHM; IMAGE PROCESSING; MACHINE LEARNING; PROCEDURES;

ALGORITHMS; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; NEURAL NETWORKS (COMPUTER);

EID: 85026529300     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2017.07.005     Document Type: Review

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