Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958124 | Computer Methods and Programs in Biomedicine | 2017 | 14 Pages |
Abstract
Better segmentation results are acquired by the Hue-texture-embedded region-based model compared with the traditional region-based active contour in these five cases: chronic gastritis, intestinal metaplasia and atrophy, low grade neoplasia, high grade neoplasia and early gastric cancer. In the future, we are planning to expand the universality of our proposed methodology to segment other lesions such as intramucosal cancer etc. As long as these issues are solved, we can proceed with the classification of clinically relevant diseases in ME-NBI images to implement a fully automatic computer-assisted diagnosis system.
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Authors
Liu Xiaoqi, Wang Chengliang, Jianying Bai, Guobin Liao, Zhao Yanjun,