Deep learning-based morphological feature analysis and the prognostic association study in colon adenocarcinoma histopathological images.

ABSTRACT: Colorectal cancer (CRC) is now the third most common malignancy to cause mortality worldwide, and its prognosis is of great importance. Recent CRC prognostic prediction studies mainly focused on biomarkers, radiometric images, and end-to-end deep learning methods, while only a few works paid attention to exploring the relationship between the quantitative morphological features of patients' tissue slides and their prognosis. However, existing few works in this area suffered from the drawback of choosing the cells randomly from the whole slides, which contain the non-tumor region that lakes information about prognosis. In addition, the existing works, which tried to demonstrate their biological interpretability using patients' transcriptome data, failed to show the biological meaning closel

SUBMITTER: Xiao X 

PROVIDER: S-EPMC9945212 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature