Refining Pseudo Labels With a Teacher-Student Paradigm for Accurate Brain Lesion Segmentation

In medical image segmentation, obtaining large volume of high quality labeled data is a persistent challenge, especially for intricate tasks like brain lesion segmentation, where annotations are time-consuming, costly, and require expert knowledge. This work introduces a novel learning framework whe...

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書誌詳細

主要な著者:	Pubali Chatterjee, Kaushik Das Sharma, Amlan Chakrabarti
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	Mean-teacher model supervised learning superpixel segmentation pseudo label image segmentation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10982225/
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