Deep Learning-Enabled Virtual Multiplexed Immunostaining of Label-Free Tissue for Vascular Invasion Assessment
Objective: We report the development and validation of a deep learning-based virtual multiplexed immunostaining method for label-free tissue, enabling the simultaneous generation of ERG (ETS-related gene), PanCK (pan-cytokeratin), and hematoxylin and eosin (H&E) images for vascular invasion assessme...
Gorde:
| Egile Nagusiak: | , , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
American Association for the Advancement of Science (AAAS)
2026-01-01
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| Saila: | BME Frontiers |
| Sarrera elektronikoa: | https://spj.science.org/doi/10.34133/bmef.0226 |
| Etiketak: |
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