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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Bibliografiske detaljer
Udgivet i: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.
Format: Artigo
Sprog:Inglês
Udgivet: Medknow Publications & Media Pvt Ltd 2016
Fag:
Original Research
Online adgang: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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