The proportion of tumor-stroma as a strong prognosticator for stage II and III colon cancer patients: validation in the VICTOR trial.

By A. Huijbers, R. Tollenaar, G. V. Pelt, E. Zeestraten, Susan J. Dutton, C. McConkey, Enric Domingo, V. Smit, R. Midgley, B. Warren and 3 more. 2013

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Multi-class texture analysis in colorectal cancer histology (2016, background): “For example, the “tumour-stroma-ratio” (area covered by tumour epithelium divided by area covered by stroma) proved to be an important prognostic factor in a number of neoplastic disorders 2,44–47 .”
Tumor-stroma ratio is an independent predictor for survival in early cervical carcinoma. (2014, background): “Among the prognostic factors, the ratio of tumor to stroma (TSR) has been identified as a new and practical prognostic histologic characteristic of several solid tumors, such as esophageal cancer [7], breast cancer [8], and colon cancer [9].”
The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis (2020, background): “More-over, recent challenge competitions in digital pathology [84 – 86] have shown that CNN-based methods can perform just as well as, if not better than, pathologists at the task of analyzing histopathological images.”
QuPath: Open source software for digital pathology image analysis (2017, background): “2e ) , consistent with previous findings 27,28 .”