Automated identification of colorectal glands morphology from benign images

Abstract

Adenocarcinoma is a common and prevalent form of cancer which arises from glandular structures in epithelium. Glands form an important histological constituent of most organs which are utilized for secreting proteins and carbohydrates. The pathological variations of the glands are routinely accessed by pathologists to measure the degree of malignancy of adenocarcinomas in lung, breast, prostate and colon. The identification of these glands is tedious and time consuming work so automated analysis of identifying a glands morphology