Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation
Machine Learning models, more specifically Artificial Neural Networks, are transforming medical imaging by enabling precise liver segmentation, a crucial task for diagnosing and treating liver diseases. However, these models often face challenges in adapting to diverse clinical data sources as diffe...
| 出版年: | Bioengineering |
|---|---|
| 主要な著者: | Stephanie Batista, Miguel Couceiro, Ricardo Filipe, Paulo Rachinhas, Jorge Isidoro, Inês Domingues |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2025-05-01
|
| 主題: | |
| オンライン・アクセス: | https://www.mdpi.com/2306-5354/12/5/530 |
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