Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers.

ABSTRACT:

Background

The expression changes of some proteins are associated with cancer progression, and can be used as biomarkers in cancer diagnosis. Automated systems have been frequently applied in the large-scale detection of protein biomarkers and have provided a valuable complement for wet-laboratory experiments. For example, our previous work used an immunohistochemical image-based machine learning classifier of protein subcellular locations to screen biomarker proteins that change locations in colon cancer tissues. The tool could recognize the location of biomarkers but did not consider the effect of protein expression level changes on the screening process.

Results

In this study, we built an automated classification model that recognizes protein expression levels in immunohi

SUBMITTER: Xue ZZ 

PROVIDER: S-EPMC9644510 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature