TABLE 3 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence
Year: 2024
Type: other
Abstract: Multivariable models for the prediction of TTR by morphologic features and clinicopathological variables in the validation cohort [p-MMR (n = 1,094) or d-MMR (n = 176) stage III colon cancers]
Authors: Frank A. Sinicrope, Garth D. Nelson, Bahar Saberzadeh-Ardestani, Diana I. Segovia, Rondell P. Graham, Christina Wu, Catherine E. Hagen, Sameer Shivji, Paul Savage, Dan D. Buchanan, Mark A. Jenkins, Amanda I. Phipps, Carol Swallow, Loic LeMarchand, Steven Gallinger, Robert C. Grant, Reetesh K. Pai, Stephen N. Sinicrope, Dongyao Yan, Kandavel Shanmugam, James Conner, David P. Cyr, Richard Kirsch, Imon Banerjee, Steve R. Alberts, Qian Shi, Rish K. Pai
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4398235239