ROC Curve Analysis Of Super High Resolution Video For Histopathology

Kenneth J. Bloom; L. Susan Rozek; Ronald S. Weinstein

doi:10.1117/12.976532

13 October 1987 ROC Curve Analysis Of Super High Resolution Video For Histopathology

Kenneth J. Bloom, L. Susan Rozek, Ronald S. Weinstein

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976532
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

The receiver operator characteristic (ROC) curve is used to assess the ability of a diagnostic test to distinguish between two discreet states, such as tumor present or tumor absent in a histopathologic section. We have used ROC methodology to assess the ability of pathologists to diagnose frozen section biopsies of breast tissue as benign or malignant, using both a conventional light microscope and a high resolution camera/monitor system. 115 consecutive frozen section breast biopsies were reviewed using each of the above modalities. Results yielded identical ROC curves for the conventional light microscope and high resolution camera/monitor system. Furthermore, the percentage of cases in which pathologists rendered an "equivocal" diagnosis was the same with both modalities.

Citation Download Citation

Kenneth J. Bloom, L. Susan Rozek, and Ronald S. Weinstein "ROC Curve Analysis Of Super High Resolution Video For Histopathology", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976532

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