A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.

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Bibliographic Details
Title: A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.
Authors: Cruz-Roa AA; MindLab Research Group, Universidad Nacional de Colombia, Bogota, Colombia, Arevalo Ovalle JE; MindLab Research Group, Universidad Nacional de Colombia, Bogota, Colombia, Madabhushi A; Dept. of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA., González Osorio FA; MindLab Research Group, Universidad Nacional de Colombia, Bogota, Colombia
Source: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2013; Vol. 16 (Pt 2), pp. 403-10.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101249582 Publication Model: Print Cited Medium: Print NLM ISO Abbreviation: Med Image Comput Comput Assist Interv Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.1007/978-3-642-40763-5_50