A novel approach for tuberculosis screening based on deep convolutional neural networks

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9785, Issue , 2016, Pages

  Hwang, Sangheum ^a   Kim, Hyo Eun ^a   Jeong, Jihoon ^b   Kim, Hee Jin ^c  

^a Oncology group   (South Korea)

^b Kyung Hee Cyber University   (South Korea)

^c Korean Institute of Tuberculosis   (South Korea)

Author keywords

Computer aided diagnosis; Convolutional neural network; Transfer learning; Tuberculosis screening

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; COMPUTER NETWORKS; COMPUTER VISION; CONVOLUTION; DEVELOPING COUNTRIES; DIAGNOSIS; FEATURE EXTRACTION; HEALTH RISKS; LEARNING SYSTEMS; MEDICAL IMAGING; NEURAL NETWORKS; VISION;

COMPUTER AIDED DIAGNOSIS(CAD); CONVOLUTIONAL NEURAL NETWORK; DELAYED DIAGNOSIS; EARLY DIAGNOSIS; FEATURE ENGINEERINGS; MORPHOLOGICAL FEATURES; SCREENING PERFORMANCE; TRANSFER LEARNING;

COMPUTER AIDED DIAGNOSIS;

EID: 84988799202     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2216198     Document Type: Conference Paper

References (8)

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