April 8, 2024, 4:44 a.m. | Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Le Lu, Na Shen, Qifeng Wang, Xiaowei Ding, Xianghua Ye, Dakai Jin

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.03819v1 Announce Type: new
Abstract: Lymph node (LN) assessment is a critical, indispensable yet very challenging task in the routine clinical workflow of radiology and oncology. Accurate LN analysis is essential for cancer diagnosis, staging, and treatment planning. Finding scatteredly distributed, low-contrast clinically relevant LNs in 3D CT is difficult even for experienced physicians under high inter-observer variations. Previous automatic LN detection works typically yield limited recall and high false positives (FPs) due to adjacent anatomies with similar image intensities, …

abstract analysis arxiv assessment cancer cancer diagnosis clinical contrast cs.cv detection diagnosis distributed location low node nodes oncology planning query radiology representation scans staging transformer treatment type workflow

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