AIMC Topic: Papanicolaou Test

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CNN based method for classifying cervical cancer cells in pap smear images.

Scientific reports Jul 4, 2025
The absence of reliable early treatment serves as one of the main causes of cervical cancer. Hence, it is crucial to detect cervical cancer early. The biggest challenge in diagnosing cervical cancer early is that it is asymptomatic until it develops ...
Humans Neural Networks, Computer Papanicolaou Test Image Processing, Computer-Assisted Vaginal Smears Early Detection of Cancer Machine Learning Female Uterine Cervical Neoplasms Deep Learning
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Exploring potential methylation markers for ovarian cancer from cervical scraping samples.

Human genomics May 17, 2025
BACKGROUND: Ovarian cancer has the highest mortality rate among gynecological cancers, making early detection crucial, as the five-year survival rate drops from 92% with early-stage diagnosis compared to 31% with late-stage diagnosis. Current diagnos...
Ovarian Neoplasms CpG Islands DNA Methylation Cervix Uteri Early Detection of Cancer Humans Machine Learning Female Uterine Cervical Neoplasms Middle Aged Papanicolaou Test Vaginal Smears Aged Adult Biomarkers, Tumor
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A deep ensemble learning approach for squamous cell classification in cervical cancer.

Scientific reports Mar 1, 2025
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to the vagina-poses a significant health threat. The microscopic examination of cervical cells using Pap smear techniques plays a crucial role in identif...
Female Carcinoma, Squamous Cell Uterine Cervical Neoplasms Deep Learning Humans Neural Networks, Computer Ensemble Learning Papanicolaou Test Vaginal Smears Cervix Uteri
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Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Acta cytologica Feb 3, 2025
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...
Squamous Cell Carcinoma of Head and Neck Early Detection of Cancer Predictive Value of Tests Mouth Neoplasms Cytodiagnosis Image Interpretation, Computer-Assisted Male Middle Aged Pilot Projects Papanicolaou Test Reproducibility of Results Aged Adult Humans Artificial Intelligence Female Carcinoma, Squamous Cell
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Comparison of deep transfer learning models for classification of cervical cancer from pap smear images.

Scientific reports Jan 31, 2025
Cervical cancer is one of the most commonly diagnosed cancers worldwide, and it is particularly prevalent among women living in developing countries. Traditional classification algorithms often require segmentation and feature extraction techniques t...
Uterine Cervical Neoplasms Deep Learning Papanicolaou Test Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Female Vaginal Smears Humans
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BMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.

Scientific data Dec 28, 2024
In the past several years, a few cervical Pap smear datasets have been published for use in clinical training. However, most publicly available datasets consist of pre-segmented single cell images, contain on-image annotations that must be manually e...
Female Uterine Cervical Neoplasms Papanicolaou Test Vaginal Smears Cervix Uteri Humans Machine Learning
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Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection.

Computers in biology and medicine Dec 10, 2024
BACKGROUND AND OBJECTIVES: Oral cancer is a global health challenge. The disease can be successfully treated if detected early, but the survival rate drops significantly for late stage cases. There is a growing interest in a shift from the current st...
Humans Adult Image Interpretation, Computer-Assisted Datasets as Topic Multimodal Imaging Optical Imaging Deep Learning Mouth Mucosa Biopsy Papanicolaou Test Mouth Neoplasms Early Detection of Cancer Microscopy
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Detecting the impact of diagnostic procedures in Pap-positive women on anxiety using artificial neural networks.

PloS one Oct 31, 2024
INTRODUCTION: Women who receive a result of an abnormal Papanicolaou (Pap) smear can fail to participate in follow up procedures, and this is often due to anxiety. This study aimed to apply artificial neural networks (ANN) in prediction of anxiety in...
Humans Surveys and Questionnaires Middle Aged Female Neural Networks, Computer Papanicolaou Test Anxiety Young Adult Vaginal Smears Depression Adult Colposcopy Uterine Cervical Neoplasms
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Enhancing pap smear image classification: integrating transfer learning and attention mechanisms for improved detection of cervical abnormalities.

Biomedical physics & engineering express Sep 30, 2024
Cervical cancer remains a major global health challenge, accounting for significant morbidity and mortality among women. Early detection through screening, such as Pap smear tests, is crucial for effective treatment and improved patient outcomes. How...
Early Detection of Cancer Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Vaginal Smears Cervix Uteri Female Uterine Cervical Neoplasms Deep Learning Papanicolaou Test Humans Machine Learning Algorithms
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CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image Classification.

F1000Research Aug 6, 2024
BACKGROUND: Medical imaging has seen significant advancements through machine learning, particularly convolutional neural networks (CNNs). These technologies have transformed the analysis of pathological images, enhancing the accuracy of diagnosing a...
Vaginal Smears Female Uterine Cervical Neoplasms Humans Papanicolaou Test Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning
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