Computational learning of features for automated colonic polyp classification

Abstract Shape, texture, and color are critical features for assessing the degree of dysplasia in colonic polyps. A comprehensive analysis of these features is presented in this paper. Shape features are extracted using generic Fourier descriptor. The nonsubsampled contourlet transform is used as te...

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Autores principales: Kangkana Bora, M. K. Bhuyan, Kunio Kasugai, Saurav Mallik, Zhongming Zhao
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b9ba95f3c47249c38cb8b7f3f0d80e71
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