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Lightweight multiscale feature refinement network for breast cancer histopathology segmentation

The likelihood of developing breast cancer (BC) in women is approximately 12.24%, the highest among all cancers, and clinicians are adopting AI-based technologies to improve early diagnosis and reduce the mortality rate. The present study focuses on histopathological image analysis, particularly the...

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書誌詳細
主要な著者: Zaka-Ud-Din Muhammad, Vincenzo Della Mea
フォーマット: Artigo
言語:Inglês
出版事項: Elsevier 2026-06-01
シリーズ:Informatics in Medicine Unlocked
主題:
オンライン・アクセス:http://www.sciencedirect.com/science/article/pii/S2352914826000249
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