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
Publicado en:J Pathol Inform
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: Artigo
Lenguaje:Inglês
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Original Research
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5248401/
https://ncbi.nlm.nih.gov/pubmed/28163974
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/2153-3539.197193
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