March 19, 2024, 4:48 a.m. | Qingrong Sun, Weixiang Zhong, Jie Zhou, Chong Lai, Xiaodong Teng, Maode Lai

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.11211v1 Announce Type: new
Abstract: The annotation of digital pathological slide data for renal cell carcinoma is of paramount importance for correct diagnosis of artificial intelligence models due to the heterogeneous nature of the tumor. This process not only facilitates a deeper understanding of renal cell cancer heterogeneity but also aims to minimize noise in the data for more accurate studies. To enhance the applicability of the data, two pathologists were enlisted to meticulously curate, screen, and label a kidney …

annotation arxiv cs.cv dataset digital digital pathology image pathology type

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