Enhancements in localized classification for uterine cervical cancer digital histology image assessment

BACKGROUND: In previous research, we introduced an automated, localized, fusion-based approach for classifying uterine cervix squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN) based on digitized histology image analysis. As part of the CIN asses...

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Detalles Bibliográficos
Autores principales: Guo, Peng, Almubarak, Haidar, Banerjee, Koyel, Stanley, R. Joe, Long, Rodney, Antani, Sameer, Thoma, George, Zuna, Rosemary, Frazier, Shelliane R., Moss, Randy H., Stoecker, William V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248401/
https://www.ncbi.nlm.nih.gov/pubmed/28163974
http://dx.doi.org/10.4103/2153-3539.197193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248401/
https://www.ncbi.nlm.nih.gov/pubmed/28163974
http://dx.doi.org/10.4103/2153-3539.197193

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