May 16, 2024, 4:45 a.m. | Chengyu Wu, Chengkai Wang, Yaqi Wang, Huiyu Zhou, Yatao Zhang, Qifeng Wang, Shuai Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.09539v1 Announce Type: cross
Abstract: Esophageal cancer is one of the most common types of cancer worldwide and ranks sixth in cancer-related mortality. Accurate computer-assisted diagnosis of cancer progression can help physicians effectively customize personalized treatment plans. Currently, CT-based cancer diagnosis methods have received much attention for their comprehensive ability to examine patients' conditions. However, multi-modal based methods may likely introduce information redundancy, leading to underperformance. In addition, efficient and effective interactions between multi-modal representations need to be further explored, …

arxiv cancer cs.cv cs.mm diagnosis diffusion diffusion model eess.iv node type

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