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Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency. (arXiv:2206.11826v2 [cs.CV] UPDATED)
June 27, 2022, 1:12 a.m. | Weijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu, Zhen Li, Li Xiang
cs.CV updates on arXiv.org arxiv.org
The colorectal polyps classification is a critical clinical examination. To
improve the classification accuracy, most computer-aided diagnosis algorithms
recognize colorectal polyps by adopting Narrow-Band Imaging (NBI). However, the
NBI usually suffers from missing utilization in real clinic scenarios since the
acquisition of this specific image requires manual switching of the light mode
when polyps have been detected by using White-Light (WL) images. To avoid the
above situation, we propose a novel method to directly achieve accurate
white-light colonoscopy image classification …
More from arxiv.org / cs.CV updates on arXiv.org
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