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Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study
BACKGROUND: The aim of this study is to demonstrate the feasibility of automatic classification of Ki-67 histological immunostainings in patients with squamous cell carcinoma of the vulva using a deep convolutional neural network (dCNN). MATERIAL AND METHODS: For evaluation of the dCNN, we used 55 w...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346648/ https://www.ncbi.nlm.nih.gov/pubmed/34386617 http://dx.doi.org/10.1016/j.heliyon.2021.e07577 |