A Visually Interpretable Deep Learning Framework for Colorectal Cancer Detection In Contrast-Enhanced CT Images
Colorectal cancer (CRC) ranks as the third most diagnosed malignancy in the world. This study aims to investigate an automated, visually interpretable framework for intelligent identification and localization of the primary CRC in portal venous phase contrast...
Poster Program · Radiopharmaceuticals, Theranostics, and Nuclear Medicine