African journal of reproductive health
Apr 23, 2025
Due to physiological changes during the perimenopausal period, the morphology of cervical cells undergoes certain alterations. Accurate cell image segmentation and lesion identification are of great significance for the early detection of precancerou...
This study aims to create a deep learning-based classification model for cervical cancer biopsy before and during radiotherapy, visualize the results on whole slide images (WSIs), and explore the clinical significance of obtained features. This study...
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Mar 10, 2025
To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination. Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of t...
Zhonghua zhong liu za zhi [Chinese journal of oncology]
Feb 23, 2025
Using methylation characteristics of human genes to construct machine learning predictive models for screening cervical cancer and precancerous lesions. Human DNA methylation detection was performed on 224 cervical exfoliated cell specimens from th...
Cervical cancer is a severe threat to women's health. The majority of cervical cancer cases occur in developing countries. The WHO has proposed screening 70% of women with high-performance tests between 35 and 45 years of age by 2030 to accelerate th...
Journal of the National Cancer Institute
Jan 10, 2024
Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition algorithms are proliferating. Some initial reports claim outstanding accuracy followed by disappointing lack of confirmation, including our own early work on...
Technology in cancer research & treatment
Jan 1, 2024
This study aimed to develop an automated classification framework for distinguishing between cervical cancer tumor and normal uterine tissue, leveraging CT images for radiomics feature extraction. We retrospectively analyzed CT images from 117 cervic...
INTRODUCTION: To compare the diagnostic sensitivity of artificial intelligence (AI) assisted videocolposcopy with standard videocolposcopy performed by specialist colposcopists.
Technology in cancer research & treatment
Jan 1, 2024
Deep learning (DL) is widely used in dose prediction for radiation oncology, multiple DL techniques comparison is often lacking in the literature. To compare the performance of 4 state-of-the-art DL models in predicting the voxel-level dose distribu...