A patient-aware benchmarking of CNN and transformer architectures for breast cancer histopathology classification
IntroductionBreast cancer diagnosis using histopathological imaging remains a critical yet challenging task, requiring automated systems that generalize reliably across patients and varying imaging conditions. While deep learning models have shown strong performance, many prior studies employ image-...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2026-05-01
|
| シリーズ: | Frontiers in Digital Health |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fdgth.2026.1752938/full |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|