AIMC Topic: Colposcopy

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Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning.

Oncology Aug 21, 2018
OBJECTIVE: This study aimed to use convolutional neural network (CNN), a deep learning software, to assist in cT1b diagnosis.
ROC Curve Decision Support Systems, Clinical Area Under Curve Neoplasm Staging Humans Machine Learning Colposcopy Neural Networks, Computer Colorectal Neoplasms Deep Learning
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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...
Female Sensitivity and Specificity Uterine Cervical Neoplasms Humans Precision Medicine Area Under Curve Uterine Cervical Dysplasia Colposcopy Deep Learning ROC Curve Early Detection of Cancer
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[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.
Retrospective Studies Female Reproducibility of Results Humans Artificial Intelligence Cervix Uteri Uterine Cervical Neoplasms Biopsy Cross-Sectional Studies Video Recording Adult Precancerous Conditions Middle Aged Sensitivity and Specificity Uterine Cervical Dysplasia Colposcopy
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A deep learning-based method for cervical transformation zone classification in colposcopy images.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Colposcopy is one of the common methods of cervical cancer screening. The type of cervical transformation zone is considered one of the important factors for grading colposcopic findings and choosing treatment.
Uterine Cervical Neoplasms Deep Learning Early Detection of Cancer Female Sensitivity and Specificity Colposcopy Humans Pregnancy
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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 Cervix Uteri Algorithms Early Detection of Cancer Population Surveillance Image Processing, Computer-Assisted Mass Screening Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Severity of Illness Index Case-Control Studies Deep Learning Aged, 80 and over Young Adult Adult Female Aged
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Better resource utilization and quality of care for cervical cancer screening in low-resourced districts using an internet-based expert system.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: Screening tools are critical in the early prevention of cervical cancers. Acetic-acid based colposcopy test provides an affordable solution but is often challenged by the lack of experienced doctors in under-developed districts.
Early Detection of Cancer Internet Expert Systems Colposcopy Middle Aged China Mass Screening Adult Uterine Cervical Neoplasms Female Aged Aged, 80 and over Humans
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[Application of artificial intelligence in diagnosis of medical endoscope].

Zhonghua zhong liu za zhi [Chinese journal of oncology] Dec 23, 2018
Through a brief overview of the origin and development of artificial intelligence, the research progress of artificial intelligence in digestive endoscopy, ophthalmoscopy and electronic colposcopy was summarized, and the importance of its application...
Equipment Design Ophthalmoscopy Endoscopes Artificial Intelligence Endoscopy Colposcopy Endoscopy, Digestive System
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