FIGURE 1 from Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence
Year: 2024
Type: other
Abstract: QuantCRC detects tumor morphologic features in four layers. TB/PDC, tumor budding/poorly differentiated cluster; TIL, tumor-infiltrating lymphocytes. https://cloud.aiforia.com/Public/MayoUpmcAiforia_Pai/0z9TK9WQComQSW5MOEo_1KieA8U9KX9oCFbc2SQ-ioM0. To see the QuantCRC analysis click on the image, then click on “analyze,” and then click on the thumbnail of the image.
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: W4398235256