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An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival

Modern Pathology Aug 16, 2017

Lu C, et al. – An assessment was performed of the computer–extracted image features of nuclear shape and texture on digitized images of H&E–stained tissue sections for risk stratification of oral cavity squamous cell carcinoma patients, compared with standard clinical and pathologic parameters. The quantitative histomorphometric features of local nuclear architecture derived from digitized H&E slides of oral cavity squamous cell carcinomas were revealed to be independently speculative of patient survival.
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