EpithNet: Deep Regression for Epithelium Segmentation in Cervical Histology Images

BACKGROUND: Automated pathology techniques for detecting cervical cancer at the premalignant stage have advantages for women in areas with limited medical resources. METHODS: This article presents EpithNet, a deep learning approach for the critical step of automated epithelium segmentation in digiti...

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Detalles Bibliográficos
Autores principales: Sornapudi, Sudhir, Hagerty, Jason, Stanley, R. Joe, Stoecker, William V., Long, Rodney, Antani, Sameer, Thoma, George, Zuna, Rosemary, Frazier, Shellaine R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245344/
https://www.ncbi.nlm.nih.gov/pubmed/32477616
http://dx.doi.org/10.4103/jpi.jpi_53_19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245344/
https://www.ncbi.nlm.nih.gov/pubmed/32477616
http://dx.doi.org/10.4103/jpi.jpi_53_19

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