https://github.com/DianaNerualNetwork/StainPromptInversion
공식 코드Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Virtual staining uses computational techniques to simulate traditional staining (like H&E) on histopathology images, enhancing tissue features digitally without physical dyes. It offers faster, cost-effective, and non-invasive analysis for pathology.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.