AIMC Topic: Vaginal Smears

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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...
Colposcopy Middle Aged Young Adult Anxiety Adult Depression Uterine Cervical Neoplasms Surveys and Questionnaires Humans Papanicolaou Test Neural Networks, Computer Vaginal Smears Female
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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...
Female Uterine Cervical Neoplasms Deep Learning Humans Machine Learning Algorithms Cervix Uteri Papanicolaou Test Early Detection of Cancer Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Vaginal Smears
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Enhancing cervical cancer cytology screening via artificial intelligence innovation.

Scientific reports Aug 22, 2024
A double-check process helps prevent errors and ensures quality control. However, it may lead to decreased personal accountability, reduced effort, and declining quality checks. Introducing an artificial intelligence (AI)-based system in such scenari...
Female Humans Uterine Cervical Neoplasms Artificial Intelligence Mass Screening Vaginal Smears Early Detection of Cancer Workflow
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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...
Papanicolaou Test Image Processing, Computer-Assisted Vaginal Smears Machine Learning Humans Female Neural Networks, Computer Uterine Cervical Neoplasms
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Consistent and effective method to define the mouse estrous cycle stage by a deep learning-based model.

The Journal of endocrinology May 6, 2024
The mouse estrous cycle is divided into four stages: proestrus (P), estrus (E), metestrus (M), and diestrus (D). The estrous cycle affects reproductive hormone levels in a wide variety of tissues. Therefore, to obtain reliable results from female mic...
Mice Estrous Cycle Deep Learning Image Processing, Computer-Assisted Vaginal Smears Neural Networks, Computer Female Reproducibility of Results Animals
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Assessment of Efficacy and Accuracy of Cervical Cytology Screening With Artificial Intelligence Assistive System.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Apr 6, 2024
The role of artificial intelligence (AI) in pathology offers many exciting new possibilities for improving patient care. This study contributes to this development by identifying the viability of the AICyte assistive system for cervical screening, an...
Humans Uterine Cervical Neoplasms Papanicolaou Test Vaginal Smears Artificial Intelligence Female Reproducibility of Results Uterine Cervical Dysplasia Early Detection of Cancer Image Interpretation, Computer-Assisted
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Improving cervical cancer classification in PAP smear images with enhanced segmentation and deep progressive learning-based techniques.

Diagnostic cytopathology Mar 22, 2024
OBJECTIVE: Cervical cancer, a prevalent and deadly disease among women, comes second only to breast cancer, with over 700 daily deaths. The Pap smear test is a widely utilized screening method for detecting cervical cancer in its early stages. Howeve...
Papanicolaou Test Vaginal Smears Female Uterine Cervical Neoplasms Deep Learning Humans
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Cervical cell's nucleus segmentation through an improved UNet architecture.

PloS one Oct 3, 2023
Precise segmentation of the nucleus is vital for computer-aided diagnosis (CAD) in cervical cytology. Automated delineation of the cervical nucleus has notorious challenges due to clumped cells, color variation, noise, and fuzzy boundaries. Due to it...
Neural Networks, Computer Female Diagnosis, Computer-Assisted Papanicolaou Test Image Processing, Computer-Assisted Humans Vaginal Smears
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Application of the sliding window method and Mask-RCNN method to nuclear recognition in oral cytology.

Diagnostic pathology Aug 2, 2022
BACKGROUND: We aimed to develop an artificial intelligence (AI)-assisted oral cytology method, similar to cervical cytology. We focused on the detection of cell nuclei because the ratio of cell nuclei to cytoplasm increases with increasing cell malig...
Cell Nucleus Cytoplasm Female Humans Vaginal Smears Neural Networks, Computer Artificial Intelligence
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Scrutinizing high-risk patients from ASC-US cytology via a deep learning model.

Cancer cytopathology Mar 15, 2022
BACKGROUND: Atypical squamous cells of undetermined significance (ASC-US) is the most frequent but ambiguous abnormal Papanicolaou (Pap) interpretation and is generally triaged by high-risk human papillomavirus (hrHPV) testing before colposcopy. This...
Deep Learning Papillomaviridae Female Humans Vaginal Smears Colposcopy Artificial Intelligence Papillomavirus Infections Uterine Cervical Neoplasms Atypical Squamous Cells of the Cervix Pregnancy
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