Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network

Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network

Colorectal imaging improves on diagnosis of colorectal diseases by providing colorectal images. Manual diagnosis of colorectal disease is labor-intensive and time-consuming. In this paper, we present a method for automatic colorectal disease classification and segmentation. Because of label unbalanc...

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Bibliographic Details
Main Authors:	Yao Yao, Shuiping Gou, Ru Tian, Xiangrong Zhang, Shuixiang He
Format:	Article
Language:	English
Published:	Hindawi Limited 2021-01-01
Series:	BioMed Research International
Online Access:	http://dx.doi.org/10.1155/2021/6683931

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