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Proportion Estimation by Masked Learning from Label Proportion
May 9, 2024, 4:42 a.m. | Takumi Okuo, Kazuya Nishimura, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
cs.LG updates on arXiv.org arxiv.org
Abstract: The PD-L1 rate, the number of PD-L1 positive tumor cells over the total number of all tumor cells, is an important metric for immunotherapy. This metric is recorded as diagnostic information with pathological images. In this paper, we propose a proportion estimation method with a small amount of cell-level annotation and proportion annotation, which can be easily collected. Since the PD-L1 rate is calculated from only `tumor cells' and not using `non-tumor cells', we first …
abstract arxiv cells cs.cv cs.lg diagnostic images information paper positive rate small total type
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