As part of the GlaS@MICCAI2015 colon gland segmentation challenge, a team of researchers introduced a machine learning-based algorithm to segment glands in tissue of benign and malignant colorectal cancer. The variability of glandular structures in biological tissue poses a challenge to automated analysis of histopathology slides. It has become a key requirement to quantitative morphology��
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