Graph Segmentation-Based Pseudo-Labeling for Semi-Supervised Pathology Image Classification

Pathology image classification is an important step in cancer diagnosis and precision treatment. Training a pathology image classification model in a fully supervised manner requires exhaustive pixel-level manual annotations from pathologists, which may not be practical in real applications. Semi-su...

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書誌詳細

主要な著者:	Hong-Kyu Shin, Kwang-Hyun Uhmn, Kyuyeon Choi, Zhixin Xu, Seung-Won Jung, Sung-Jea Ko
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2022-01-01
シリーズ:	IEEE Access
主題:	Graph-based segmentation pathology pseudo-labeling semi-supervised learning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9875297/
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