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: | Peng Guo, Haidar Almubarak, Koyel Banerjee, R Joe Stanley, Rodney Long, Sameer Antani, George Thoma, Rosemary Zuna, Shelliane R Frazier, Randy H Moss, William V Stoecker |
---|---|
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 |
Similar Items
-
Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels
by: Sudhir Sornapudi, et al.
Published: (2018-01-01) -
Flexible Magnifying Endoscopy with Narrow Band Imaging for Diagnosing Uterine Cervical Neoplasms: A Multicenter Prospective Study
by: Hideki Kobara, et al.
Published: (2021-10-01) -
A single-institutional retrospective analysis of factors related to vaginal intraepithelial neoplasia
by: Hongmin Zeng, et al.
Published: (2023-10-01) -
Quality Assessment of Endoscopic Forceps Biopsy Samples under Magnifying Narrow Band Imaging for Histological Diagnosis of Cervical Intraepithelial Neoplasia: A Feasibility Study
by: Kunihisa Uchita, et al.
Published: (2021-02-01) -
Pap Smear and Colposcopic Examination of the Cervix in Pelvic Inflammatory Disease and other Gynaecological Conditions: A Prospective Analytical Study
by: Kamlesh Kumari, et al.
Published: (2023-03-01)