Efficient quality control of whole slide pathology images with human-in-the-loop training
Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic softwares are vulnerable to biases and impurities in the training and test data which can lead to inaccurate diagnoses. For...
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| Autores principales: | , , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2023-01-01
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| Colección: | Journal of Pathology Informatics |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2153353923001207 |
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