AIMC Topic: Papanicolaou Test
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Enhancing cervical cancer detection and robust classification through a fusion of deep learning models.
Scientific reports
May 11, 2024
Cervical cancer, the second most prevalent cancer affecting women, arises from abnormal cell growth in the cervix, a crucial anatomical structure within the uterus. The significance of early detection cannot be overstated, prompting the use of variou...
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...
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...
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...
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...
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...
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...
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 ...
Early Detection of Cancer
Predictive Value of Tests
Workload
Image Interpretation, Computer-Assisted
Workflow
Diffusion of Innovation
Diagnosis, Computer-Assisted
Papanicolaou Test
Vaginal Smears
Female
Reproducibility of Results
Uterine Cervical Neoplasms
Humans
Artificial Intelligence
Automation, Laboratory
Discriminant analysis and interpretation of nuclear chromatin distribution and coarseness using gray-level co-occurrence matrix features for lobular endocervical glandular hyperplasia.
Diagnostic cytopathology
May 6, 2020
BACKGROUND: Lobular endocervical glandular hyperplasia (LEGH) is a disease considered to be the origin of tumorigenesis of minimal deviation adenocarcinoma, which has characteristic expression in the gastric pyloric mucosa. It is difficult to diagnos...
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...
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