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CNN stability training improves robustness to scanner and IHC-based image variability for epithelium segmentation in cervical histology
BACKGROUND: In digital pathology, image properties such as color, brightness, contrast and blurriness may vary based on the scanner and sample preparation. Convolutional Neural Networks (CNNs) are sensitive to these variations and may underperform on images from a different domain than the one used...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354251/ https://www.ncbi.nlm.nih.gov/pubmed/37476610 http://dx.doi.org/10.3389/fmed.2023.1173616 |