AIMC Topic: Uterine Cervical Dysplasia
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Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.
IEEE journal of biomedical and health informatics
Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
Effects of long-term folate supplementation on metabolic status and regression of cervical intraepithelial neoplasia: A randomized, double-blind, placebo-controlled trial.
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 29, 2015
OBJECTIVE: This study was conducted to determine the effects of long-term folate supplementation on regression and metabolic status of patients with cervical intraepithelial neoplasia grade 1 (CIN1).
Integrating SEResNet101 and SE-VGG19 for advanced cervical lesion detection: a step forward in precision oncology.
BMC cancer
May 28, 2025
BACKGROUND: Cervical cancer remains a significant global health issue, with accurate differentiation between low-grade (LSIL) and high-grade squamous intraepithelial lesions (HSIL) crucial for effective screening and management. Current methods, such...
[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].
Zhonghua zhong liu za zhi [Chinese journal of oncology]
Feb 23, 2025
Using methylation characteristics of human genes to construct machine learning predictive models for screening cervical cancer and precancerous lesions. Human DNA methylation detection was performed on 224 cervical exfoliated cell specimens from th...
[Artificial Intelligence: accuracy for the diagnosis of precancerous lesions of the cervix].
Medicina
Jan 1, 2024
INTRODUCTION: To compare the diagnostic sensitivity of artificial intelligence (AI) assisted videocolposcopy with standard videocolposcopy performed by specialist colposcopists.
Using Natural Language Processing to Improve Discrete Data Capture From Interpretive Cervical Biopsy Diagnoses at a Large Health Care Organization.
Archives of pathology & laboratory medicine
Feb 1, 2023
CONTEXT.—: The terminology used by pathologists to describe and grade dysplasia and premalignant changes of the cervical epithelium has evolved over time. Unfortunately, coexistence of different classification systems combined with nonstandardized in...
Risk stratification of cervical lesions using capture sequencing and machine learning method based on HPV and human integrated genomic profiles.
Carcinogenesis
Oct 16, 2019
From initial human papillomavirus (HPV) infection and precursor stages, the development of cervical cancer takes decades. High-sensitivity HPV DNA testing is currently recommended as primary screening method for cervical cancer, whereas better triage...
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.
Journal of the National Cancer Institute
Sep 1, 2019
BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than 500 000 cancer cases occur annually. Visual inspection of the cervix following acetic acid applicati...
Area Under Curve
Uterine Cervical Dysplasia
Colposcopy
Humans
Middle Aged
Severity of Illness Index
Case-Control Studies
Young Adult
Deep Learning
Algorithms
Adult
Image Processing, Computer-Assisted
Cervix Uteri
Female
Sensitivity and Specificity
Mass Screening
Early Detection of Cancer
Aged
Population Surveillance
Uterine Cervical Neoplasms
Aged, 80 and over
Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach.
European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
Mar 1, 2019
The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) genotype might predict the risk of cervical dysplasia persistence/recurrence. Retrospective analysis of prospectively collected data of consecutive 5104 ...
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