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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Detalhes bibliográficos
Publicado no:J Pathol Inform
Main Authors: 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
Idioma:Inglês
Publicado em: Medknow Publications & Media Pvt Ltd 2016
Assuntos:
Original Research
Acesso em linha: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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