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Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists
Numerous cancer histopathology specimens have been collected and digitized over the past few decades. A comprehensive evaluation of the distribution of various cells in tumor tissue sections can provide valuable information for understanding cancer. Deep learning is suitable for achieving these goal...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982301/ https://www.ncbi.nlm.nih.gov/pubmed/36873900 http://dx.doi.org/10.1016/j.patter.2023.100688 |