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...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2016-01-01
|
Series: | Journal of Pathology Informatics |
Subjects: | |
Online Access: | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2016;volume=7;issue=1;spage=51;epage=51;aulast=Guo |