AIMC Topic: Papanicolaou Test

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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...
Adult Biomarkers, Tumor Uterine Cervical Neoplasms Middle Aged Machine Learning Female Aged Cervix Uteri Humans Early Detection of Cancer Ovarian Neoplasms CpG Islands Papanicolaou Test Vaginal Smears DNA Methylation
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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...
Uterine Cervical Neoplasms Deep Learning Papanicolaou Test Vaginal Smears Cervix Uteri Ensemble Learning Humans Neural Networks, Computer Female Carcinoma, Squamous Cell
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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...
Early Detection of Cancer Predictive Value of Tests Mouth Neoplasms Cytodiagnosis Pilot Projects Papanicolaou Test Squamous Cell Carcinoma of Head and Neck Image Interpretation, Computer-Assisted Female Carcinoma, Squamous Cell Reproducibility of Results Aged Adult Male Middle Aged Humans Artificial Intelligence
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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...
Algorithms Female Uterine Cervical Neoplasms Deep Learning Humans Neural Networks, Computer Papanicolaou Test Image Processing, Computer-Assisted Vaginal Smears
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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...
Humans Machine Learning Papanicolaou Test Female Vaginal Smears Uterine Cervical Neoplasms Cervix Uteri
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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...
Optical Imaging Mouth Mucosa Microscopy Image Interpretation, Computer-Assisted Adult Datasets as Topic Deep Learning Papanicolaou Test Early Detection of Cancer Multimodal Imaging Biopsy Mouth Neoplasms Humans
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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...
Surveys and Questionnaires Humans Papanicolaou Test Middle Aged Female Vaginal Smears Neural Networks, Computer Anxiety Young Adult Colposcopy Depression Adult 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...
Papanicolaou Test Image Processing, Computer-Assisted Vaginal Smears Cervix Uteri Early Detection of Cancer Image Interpretation, Computer-Assisted Algorithms Female Uterine Cervical Neoplasms Deep Learning Humans Machine Learning
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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...
Humans Vaginal Smears Female Neural Networks, Computer Uterine Cervical Neoplasms Machine Learning Papanicolaou Test Image Processing, Computer-Assisted
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A two-stream decision fusion network for cervical pap-smear image classification tasks.

Tissue & cell Jul 31, 2024
Deep learning, especially Convolution Neural Networks (CNNs), has demonstrated superior performance in image recognition and classification tasks. They make complex pattern recognition possible by extracting image features through layers of abstracti...
Cervix Uteri Uterine Cervical Neoplasms Deep Learning Papanicolaou Test Humans Image Processing, Computer-Assisted Neural Networks, Computer Female
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