AIMC Topic: Uterine Cervical Dysplasia

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Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.

Cancer medicine Jan 11, 2023
BACKGROUND: Colposcopy is indispensable for the diagnosis of cervical lesions. However, its diagnosis accuracy for high-grade squamous intraepithelial lesion (HSIL) is at about 50%, and the accuracy is largely dependent on the skill and experience of...
Humans Deep Learning Cervix Uteri Precancerous Conditions Uterine Cervical Dysplasia Colposcopy Artificial Intelligence Pregnancy Female Carcinoma, Squamous Cell Uterine Cervical Neoplasms
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Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.

International journal of medical informatics Dec 28, 2021
PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervical images for cervical screening, and investigate the synergetic benefits of the colposcopy, the cytology test, and the HPV test for improving cervical...
Cervix Uteri Early Detection of Cancer Uterine Cervical Dysplasia Colposcopy Sensitivity and Specificity Uterine Cervical Neoplasms Deep Learning Papillomavirus Infections Mass Screening Humans Pregnancy Female
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Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon.

PloS one Dec 16, 2021
INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. WHO recommendation for cervical cancer screening in LMICs includes HPV testing as primary screen...
Humans Uterine Cervical Neoplasms Middle Aged Cameroon Smartphone Papillomavirus Infections Artificial Intelligence Prospective Studies Prognosis Female Adult Papillomaviridae Early Detection of Cancer Clinical Trials as Topic Acetic Acid Uterine Cervical Dysplasia
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Artificial intelligence-assisted fast screening cervical high grade squamous intraepithelial lesion and squamous cell carcinoma diagnosis and treatment planning.

Scientific reports Aug 10, 2021
Every year cervical cancer affects more than 300,000 people, and on average one woman is diagnosed with cervical cancer every minute. Early diagnosis and classification of cervical lesions greatly boosts up the chance of successful treatments of pati...
Papanicolaou Test Image Processing, Computer-Assisted Vaginal Smears Early Detection of Cancer Uterine Cervical Dysplasia Decision Making, Computer-Assisted Squamous Intraepithelial Lesions Humans Artificial Intelligence Female Uterine Cervical Neoplasms
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Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.

Gynecologic oncology Aug 16, 2020
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images, however, the effect in cervical cancer screening is inconclusive. We aim to evaluate the performance of AI-assisted cytology for the detecti...
Colposcopy Triage Biopsy Datasets as Topic Humans Cervix Uteri Uterine Cervical Dysplasia Female Early Detection of Cancer Adult Papillomaviridae Neoplasm Invasiveness Uterine Cervical Neoplasms Predictive Value of Tests Middle Aged Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Vaginal Smears Papillomavirus Infections
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Classification of cervical neoplasms on colposcopic photography using deep learning.

Scientific reports Aug 12, 2020
Colposcopy is widely used to detect cervical cancers, but experienced physicians who are needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence (AI) has been recently used in computer-aided diagnosis showing rem...
Deep Learning Adolescent Uterine Cervical Dysplasia Colposcopy Uterine Cervical Neoplasms Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult
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The artificial intelligence-assisted cytology diagnostic system in large-scale cervical cancer screening: A population-based cohort study of 0.7 million women.

Cancer medicine Jul 22, 2020
BACKGROUND: Adequate cytology is limited by insufficient cytologists in a large-scale cervical cancer screening. We aimed to develop an artificial intelligence (AI)-assisted cytology system in cervical cancer screening program.
Biopsy Cytodiagnosis Uterine Cervical Dysplasia Colposcopy Humans Vaginal Smears Early Detection of Cancer Predictive Value of Tests Neoplasm Grading Uterine Cervical Neoplasms Female Middle Aged Reproducibility of Results Diagnosis, Computer-Assisted Aged Deep Learning Young Adult China Adult
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The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images.

Scientific reports Jul 15, 2020
Background Deep learning has presented considerable potential and is gaining more importance in computer assisted diagnosis. As the gold standard for pathologically diagnosing cervical intraepithelial lesions and invasive cervical cancer, colposcopy-...
Retrospective Studies Female Adult Uterine Cervical Neoplasms Middle Aged Deep Learning Vaginal Smears Papillomavirus Infections Cervix Uteri Early Detection of Cancer Humans Datasets as Topic Uterine Cervical Dysplasia Papillomaviridae Colposcopy Squamous Intraepithelial Lesions Models, Statistical Neoplasm Grading Biopsy Image Interpretation, Computer-Assisted
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Two dimensional multifractal detrended fluctuation analysis of low coherence images for diagnosis of cervical pre-cancer.

Biomedical physics & engineering express Feb 18, 2020
We report detection of cervical pre-cancer through their low coherence images by applying two dimensional multifractal detrended fluctuation analysis. Low coherent backscattered images of pre-cancerous cervical tissue sections were captured using a c...
Support Vector Machine Precancerous Conditions Uterine Cervical Dysplasia Fractals Algorithms Female Uterine Cervical Neoplasms Humans Image Processing, Computer-Assisted
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Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population.

Journal of clinical microbiology Nov 22, 2019
This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay with the Cobas HPV test in identifying cervical intraepithelial neoplasia 2/3 or above (CIN2/3+) in an Asian screening population and (ii) to explore...
Middle Aged Adolescent Aged, 80 and over Genotype Asian People Humans Young Adult Papillomavirus Infections Genotyping Techniques Machine Learning Adult Early Detection of Cancer Uterine Cervical Dysplasia Sensitivity and Specificity Papillomaviridae Female Uterine Cervical Neoplasms Aged
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