Deep Learning in Medical Image Analysis

Annual Review of Biomedical Engineering

Volumn 19, Issue , 2017, Pages 221-248

  Shen, Dinggang ^a,b   Wu, Guorong ^a   Suk, Heung Il ^b  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b Korea University   (South Korea)

Author keywords

Deep learning; Medical image analysis; Unsupervised feature learning

Indexed keywords

COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; DIAGNOSIS; EDUCATION; IMAGE ANALYSIS; IMAGE SEGMENTATION; LEARNING SYSTEMS; MEDICAL APPLICATIONS; MEDICAL IMAGING;

CELLULAR STRUCTURE; COMPUTER-ASSISTED ANALYSIS; DISEASE DIAGNOSIS; DOMAIN-SPECIFIC KNOWLEDGE; HIERARCHICAL FEATURES; LEARNING METHODS; TISSUE SEGMENTATION; UNSUPERVISED FEATURE LEARNING;

DEEP LEARNING;

ANATOMICAL CONCEPTS; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; IMAGE ANALYSIS; IMAGE SEGMENTATION; LEARNING; PROGNOSIS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; IMAGE ENHANCEMENT; PROCEDURES; UNSUPERVISED MACHINE LEARNING;

ALGORITHMS; DIAGNOSTIC IMAGING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; UNSUPERVISED MACHINE LEARNING;

EID: 85021145223     PISSN: 15239829     EISSN: 15454274     Source Type: Book Series    
DOI: 10.1146/annurev-bioeng-071516-044442     Document Type: Article

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