Representation learning for mammography mass lesion classification with convolutional neural networks

Computer Methods and Programs in Biomedicine

Volumn 127, Issue , 2016, Pages 248-257

  Arevalo, John ^a   González, Fabio A ^a   Ramos Pollán, Raúl ^b   Oliveira, Jose L ^c   Guevara Lopez, Miguel Angel ^d  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b UNIVERSIDAD INDUSTRIAL DE SANTANDER   (Colombia)

^c UNIVERSITY OF AVEIRO   (Portugal)

^d CCG   (Portugal)

Author keywords

Breast cancer; Computer aided diagnosis; Convolutional neural networks; Feature learning; Mammography

Indexed keywords

BENCHMARKING; COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; CONVOLUTION; DIAGNOSIS; DISEASES; FEATURE EXTRACTION; GRAPHIC METHODS; MAMMOGRAPHY; NEURAL NETWORKS;

AREA UNDER THE ROC CURVE; AUTOMATIC CLASSIFICATION; BREAST CANCER; BREAST CANCER DIAGNOSIS; CONVOLUTIONAL NEURAL NETWORK; DISCRIMINATIVE FEATURES; FEATURE LEARNING; HISTOGRAM OF ORIENTED GRADIENTS (HOG);

MEDICAL IMAGING;

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BENCHMARKING; BREAST BIOPSY; BREAST CANCER; BREAST LESION; CANCER CLASSIFICATION; CANCER INCIDENCE; CANCER PATIENT; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIGITAL MAMMOGRAPHY; FEMALE; HISTOGRAM; HUMAN; IMAGE PROCESSING; IMAGE SEGMENTATION; MAJOR CLINICAL STUDY; MALE; RADIODIAGNOSIS; RECEIVER OPERATING CHARACTERISTIC; SUPERVISED MACHINE LEARNING; TUMOR BIOPSY; BIOPSY; BREAST NEOPLASMS; MACHINE LEARNING; MAMMOGRAPHY; PATHOLOGY;

BIOPSY; BREAST NEOPLASMS; FEMALE; HUMANS; MACHINE LEARNING; MAMMOGRAPHY; NEURAL NETWORKS (COMPUTER);

EID: 84955570567     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2015.12.014     Document Type: Article

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