Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features-Reference-Cited by-同舟云学术

Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features

Published:2017-03-11 Issue:2 Volume:4 Page:021105
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:en
Short-container-title:J. Med. Imag

Author:

Corredor Germán¹,Whitney Jon²,Arias Viviana³,Madabhushi Anant²,Romero Eduardo⁴

Affiliation:

1. Universidad Nacional de Colombia, Computer Imaging and Medical Applications Lab, Department of Medical Imaging, Bogota, ColombiabCase Western Reserve University, Center of Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Cleveland, Ohio, United States

2. Case Western Reserve University, Center of Computational Imaging and Personalized Diagnostics, Department of Biomedical Engineering, Cleveland, Ohio, United States

3. Universidad Nacional de Colombia, Patología Molecular Research Group, Department of Pathology, Bogota, Colombia

4. Universidad Nacional de Colombia, Computer Imaging and Medical Applications Lab, Department of Medical Imaging, Bogota, Colombia

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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