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Paper
18 March 2019 Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E
Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Wei Chen M.D., Wendy Frankel M.D., Metin N. Gurcan
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Abstract
Tumor budding is a recently recognized, independent prognostic factor in colorectal cancer, but lacks a standardized assessment methodology. Although staining with pan-cytokeratin has been shown to mitigate the issue of lack of reproducible, intra-observer agreement, usage of this antibody remains expensive and is limited in clinical practice. We propose an automated image analysis framework to take advantage of the visual superiority of pan-cytokeratin and the routine use of H&E to detect and quantify tumor budding. Our framework has demonstrated promising ability to identify tumor regions of colorectal slides – 92.0% accuracy, 94.5% sensitivity, and 85% specificity – across four independent datasets.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Wei Chen M.D., Wendy Frankel M.D., and Metin N. Gurcan "Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E", Proc. SPIE 10956, Medical Imaging 2019: Digital Pathology, 1095614 (18 March 2019); https://doi.org/10.1117/12.2513014
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Tumors

Colorectal cancer

Image segmentation

Cancer

Pathology

Databases

Edge detection

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