An unsupervised feature learning framework for basal cell carcinoma image analysis.

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第一作者： John,Arevalo

第一单位： Machine Learning, Perception and Discovery Lab, Systems and Computer Engineering Department, Universidad Nacional de Colombia, Faculty of Engineering, Cra 30 No 45 03-Ciudad Universitaria, Building 453 Office 114, Bogotá DC, Colombia. Electronic address: jearevaloo@unal.edu.co.

作者： John,Arevalo ^[1] ; Angel,Cruz-Roa ^[2] ; Viviana,Arias ^[3] ; Eduardo,Romero ^[4] ; Fabio A,González ^[5]

作者单位： Machine Learning, Perception and Discovery Lab, Systems and Computer Engineering Department, Universidad Nacional de Colombia, Faculty of Engineering, Cra 30 No 45 03-Ciudad Universitaria, Building 453 Office 114, Bogotá DC, Colombia. Electronic address: jearevaloo@unal.edu.co. ^[1] Machine Learning, Perception and Discovery Lab, Systems and Computer Engineering Department, Universidad Nacional de Colombia, Faculty of Engineering, Cra 30 No 45 03-Ciudad Universitaria, Building 453 Office 114, Bogotá DC, Colombia. Electronic address: aacruzr@unal.edu.co. ^[2] Pathology Department, Universidad Nacional de Colombia, Faculty of Medicine, Cra 30 No 45 03-Ciudad Universitaria, Bogotá DC, Colombia. Electronic address: vlariasp@unal.edu.co. ^[3] Computer Imaging & Medical Applications Laboratory, Universidad Nacional de Colombia, Faculty of Medicine, Cra 30 No 45 03-Ciudad Universitaria, Bogotá DC, Colombia. Electronic address: edromero@unal.edu.co. ^[4] Machine Learning, Perception and Discovery Lab, Systems and Computer Engineering Department, Universidad Nacional de Colombia, Faculty of Engineering, Cra 30 No 45 03-Ciudad Universitaria, Building 453 Office 114, Bogotá DC, Colombia. Electronic address: fagonzalezo@unal.edu.co. ^[5]

关键词 Basal cell carcinoma Digital pathology Representation learning Unsupervised feature learning