Classification of Cervical Intraepithelial Neoplasia (CIN) using fine-tuned Convolutional Neural Networks - ScienceDirect
WO2011036173A1 - Detection and prognosis of cervical cancer - Google Patents
Classification of high‐grade cervical intraepithelial neoplasia by p16ink4a, Ki‐67, HPV E4 and FAM19A4/miR124‐2 methylation status demonstrates considerable heterogeneity with potential consequences for management - Vink - 2021 - International Journal ...
Figure 1 from Enhancements in localized classification for uterine cervical cancer digital histology image assessment | Semantic Scholar
European guidelines for quality assurance in cervical cancer screening: recommendations for cervical cytology terminology - Herbert - 2007 - Cytopathology - Wiley Online Library
Classification of cervical neoplasms on colposcopic photography using deep learning. - Abstract - Europe PMC
Role of p16/INK4a and Ki-67 as specific biomarkers for cervical intraepithelial neoplasia: An institutional study | Semantic Scholar
Frontiers | Correlation between human papillomavirus viral load and cervical lesions classification: A review of current research
A fusion-based approach for uterine cervical cancer histology image classification. - Abstract - Europe PMC
Deep learning predicts chromosomal instability from histopathology images
Schematic representation shows the CIN classification and the Bethesda... | Download Scientific Diagram