AIMC Topic: Vaginal Smears

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Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network.

Computational and mathematical methods in medicine Oct 4, 2021
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep learning-based diagnostic technology has proven to be effective in...
Vaginal Smears Computational Biology Cervix Uteri Cytodiagnosis Image Interpretation, Computer-Assisted Databases, Factual Female Uterine Cervical Neoplasms Deep Learning Cytoplasm Humans Neural Networks, Computer
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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...
Humans Vaginal Smears Early Detection of Cancer Uterine Cervical Dysplasia Decision Making, Computer-Assisted Squamous Intraepithelial Lesions Artificial Intelligence Female Uterine Cervical Neoplasms Papanicolaou Test Image Processing, Computer-Assisted
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A fuzzy rank-based ensemble of CNN models for classification of cervical cytology.

Scientific reports Jul 15, 2021
Cervical cancer affects more than 0.5 million women annually causing more than 0.3 million deaths. Detection of cancer in its early stages is of prime importance for eradicating the disease from the patient's body. However, regular population-wise sc...
Diagnosis, Computer-Assisted Papanicolaou Test Vaginal Smears Fuzzy Logic Neural Networks, Computer Databases, Factual Female Uterine Cervical Neoplasms Humans
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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...
Computer Simulation Retrospective Studies Female Uterine Cervical Neoplasms Image Processing, Computer-Assisted Deep Learning Humans Vaginal Smears Artificial Intelligence Early Detection of Cancer Prospective Studies Specimen Handling
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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...
Adult Uterine Cervical Neoplasms Point-of-Care Systems Middle Aged Health Resources Humans Artificial Intelligence Female Young Adult Digital Technology Adolescent Kenya Papanicolaou Test Vaginal Smears Early Detection of Cancer
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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...
Neoplasm Invasiveness Predictive Value of Tests Triage Biopsy Datasets as Topic Uterine Cervical Dysplasia Papillomaviridae Colposcopy Image Processing, Computer-Assisted Vaginal Smears Papillomavirus Infections Cervix Uteri Early Detection of Cancer Uterine Cervical Neoplasms Middle Aged Severity of Illness Index Deep Learning Humans Female 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.
Colposcopy Deep Learning China Vaginal Smears Young Adult Humans Predictive Value of Tests Early Detection of Cancer Adult Female Neoplasm Grading Uterine Cervical Neoplasms Reproducibility of Results Biopsy Middle Aged Aged Cytodiagnosis Diagnosis, Computer-Assisted Uterine Cervical Dysplasia
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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 ...
Female Reproducibility of Results Uterine Cervical Neoplasms Diagnosis, Computer-Assisted Humans Diffusion of Innovation Papanicolaou Test Vaginal Smears Artificial Intelligence Image Interpretation, Computer-Assisted Early Detection of Cancer Automation, Laboratory Predictive Value of Tests Workload Workflow
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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...
Epithelial Cells Area Under Curve Leukocytes Estrous Cycle Data Accuracy Vagina Humans Deep Learning ROC Curve Neural Networks, Computer Vaginal Smears Female Adult Mice Sensitivity and Specificity Mice, Inbred C57BL Animals Male
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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-...
Humans Retrospective Studies Female Adult Biopsy Uterine Cervical Neoplasms Papillomavirus Infections Colposcopy Middle Aged Image Interpretation, Computer-Assisted Cervix Uteri Squamous Intraepithelial Lesions Deep Learning Datasets as Topic Early Detection of Cancer Vaginal Smears Uterine Cervical Dysplasia Models, Statistical Papillomaviridae Neoplasm Grading
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