AIMC Topic: Vaginal Smears

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Hybrid AI-assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears.

Nature communications Jun 10, 2021
Technical advancements significantly improve earlier diagnosis of cervical cancer, but accurate diagnosis is still difficult due to various factors. We develop an artificial intelligence assistive diagnostic solution, AIATBS, to improve cervical liqu...
Humans Artificial Intelligence Deep Learning Image Processing, Computer-Assisted Vaginal Smears Early Detection of Cancer Specimen Handling Prospective Studies Computer Simulation Retrospective Studies Female Uterine Cervical Neoplasms
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Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting.

JAMA network open Mar 1, 2021
IMPORTANCE: Cervical cancer is highly preventable but remains a common and deadly cancer in areas without screening programs. The creation of a diagnostic system to digitize Papanicolaou test samples and analyze them using a cloud-based deep learning...
Early Detection of Cancer Digital Technology Kenya Humans Health Resources Artificial Intelligence Adolescent Female Papanicolaou Test Young Adult Vaginal Smears Adult Uterine Cervical Neoplasms Point-of-Care Systems Middle Aged
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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...
Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Vaginal Smears Papillomavirus Infections Humans Female Adult Uterine Cervical Neoplasms Middle Aged Colposcopy Triage Cervix Uteri Biopsy Early Detection of Cancer Datasets as Topic Neoplasm Invasiveness Uterine Cervical Dysplasia Predictive Value of Tests Papillomaviridae
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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.
Uterine Cervical Dysplasia Colposcopy Early Detection of Cancer Predictive Value of Tests Neoplasm Grading Biopsy Cytodiagnosis Diagnosis, Computer-Assisted Deep Learning China Vaginal Smears Aged Young Adult Adult Humans Uterine Cervical Neoplasms Female Middle Aged Reproducibility of Results
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Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.

Acta cytologica Jul 21, 2020
BACKGROUND: In the face of rapid technological advances in computational cytology including artificial intelligence (AI), optimization of its application to clinical practice would benefit from reflection on the lessons learned from the decades-long ...
Humans Artificial Intelligence Automation, Laboratory Female Reproducibility of Results Uterine Cervical Neoplasms Diagnosis, Computer-Assisted Workload Workflow Papanicolaou Test Diffusion of Innovation Vaginal Smears Image Interpretation, Computer-Assisted Early Detection of Cancer Predictive Value of Tests
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Deep learning-based classification of the mouse estrous cycle stages.

Scientific reports Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
Estrous Cycle Data Accuracy Vagina Mice, Inbred C57BL Epithelial Cells Area Under Curve Leukocytes Neural Networks, Computer Female Male Adult Deep Learning Humans Sensitivity and Specificity ROC Curve Animals Vaginal Smears Mice
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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-...
Datasets as Topic Uterine Cervical Dysplasia Papillomaviridae Colposcopy Squamous Intraepithelial Lesions Models, Statistical Neoplasm Grading Biopsy Image Interpretation, Computer-Assisted Female Adult Uterine Cervical Neoplasms Middle Aged Deep Learning Vaginal Smears Papillomavirus Infections Cervix Uteri Early Detection of Cancer Humans Retrospective Studies
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Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap) smear data. It is an effective technique for collecting a majority of the cervical cells and aiding cytopathologists in locating abnormal cells. Mos...
Datasets as Topic Deep Learning Humans ROC Curve Neural Networks, Computer Papanicolaou Test Female Vaginal Smears Uterine Cervical Neoplasms Cervix Uteri
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Adaptation of CytoProcessor for cervical cancer screening of challenging slides.

Diagnostic cytopathology May 20, 2019
BACKGROUND: Current automated cervical cytology screening systems require purchase of a dedicated preparation machine and use of a specific staining protocol. CytoProcessor (DATEXIM, Caen, France) is a new automated system, designed to integrate seam...
Female Uterine Cervical Neoplasms Papanicolaou Test Image Processing, Computer-Assisted Vaginal Smears Humans Artificial Intelligence Mass Screening
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Artificial intelligence in cytopathology: a review of the literature and overview of commercial landscape.

Journal of the American Society of Cytopathology Mar 25, 2019
Artificial intelligence (AI) has made impressive strides recently in interpreting complex images, thanks to improvements in deep learning techniques and increasing computational power. Researchers have started applying these advanced techniques to pa...
Cytodiagnosis Biopsy, Fine-Needle Humans Deep Learning Female Decision Support Systems, Clinical Neoplasms Papanicolaou Test Vaginal Smears Computational Biology
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