A deep feature based framework for breast masses classification

Neurocomputing

Volumn 197, Issue , 2016, Pages 221-231

  Jiao, Zhicheng ^a   Gao, Xinbo ^a   Wang, Ying ^a   Li, Jie ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Breast mass classification; Computer aided diagnosis; Convolutional neural network; Deep learning; Feature visualization

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED INSTRUCTION; CONVOLUTION; IMAGE PROCESSING; MEDICAL IMAGING; NEURAL NETWORKS; VISUALIZATION;

BREAST MASS; CLASSIFICATION PERFORMANCE; COMPUTER AIDED DIAGNOSIS(CAD); CONVOLUTIONAL NEURAL NETWORK; DEEP LEARNING; INTENSITY INFORMATION; STATE-OF-ART PERFORMANCE; VISUALIZATION METHOD;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST TUMOR; CLASSIFIER; COMPUTER ASSISTED DIAGNOSIS; CONCEPTUAL FRAMEWORK; CONVOLUTIONAL NEURAL NETWORK; DECISION SUPPORT SYSTEM; DIAGNOSIS; IMAGE ANALYSIS; INFORMATION PROCESSING; LANGUAGE PROCESSING; LEARNING; MAMMOGRAPHY; PRIORITY JOURNAL; RECEPTIVE FIELD; STOCHASTIC MODEL; SUPPORT VECTOR MACHINE; TUMOR CLASSIFICATION; X RAY ANALYSIS;

EID: 84965100889     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2016.02.060     Document Type: Article

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