Machine learning approach for segmenting glands in colon histology images using local intensity and texture features
@article{Khatun2018MachineLA,
title={Machine learning approach for segmenting glands in colon histology images using local intensity and texture features},
author={Rupali Khatun and Soumick Chatterjee},
journal={2018 IEEE 8th International Advance Computing Conference (IACC)},
year={2018},
pages={314-320}
}Colon Cancer is one of the most common types of cancer. The treatment is planned to depend on the grade or stage of cancer. One of the preconditions for grading of colon cancer is to segment the glandular structures of tissues. Manual segmentation method is very time-consuming, and it leads to life risk for the patients. The principal objective of this project is to assist the pathologist to accurate detection of colon cancer. In this paper, the authors have proposed an algorithm for an…
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