Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning-Reference-Cited by-同舟云学术

Automatic Gleason grading of prostate cancer using quantitative phase imaging and machine learning

Published:2017-03-30 Issue:3 Volume:22 Page:036015
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:en
Short-container-title:J. Biomed. Opt

Author:

Nguyen Tan H.¹,Sridharan Shamira¹,Macias Virgilia²,Kajdacsy-Balla Andre²,Melamed Jonathan³,Do Minh N.⁴,Popescu Gabriel¹

Affiliation:

1. University of Illinois, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana–Champaign, Illinois, United States

2. University of Illinois, Department of Pathology, Chicago, Illinois, United States

3. New York University, School of Medicine, Department of Pathology, New York, New York, United States

4. University of Illinois, Department of Electrical and Computer Engineering, Computational Imaging Group, Coordinated Science Laboratory, Urbana–Champaign, Illinois, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

Reference61 articles.

1. Screening for prostate cancer

2. The veteran’s administration cooperative urologic research group: histologic grading and clinical staging of prostatic carcinoma;Gleason,1977

3. An Update of the Gleason Grading System

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