An observational study of deep learning and automated evaluation of cervical images for cancer screening
Background Human papillomavirus vaccination and cervical screening are lacking in most
lower resource settings, where approximately 80% of more than 500 000 cancer cases …
lower resource settings, where approximately 80% of more than 500 000 cancer cases …
Artificial intelligence-based cervical cancer screening on images taken during visual inspection with acetic acid: A systematic review
Visual inspection with acetic acid (VIA) is one of the methods recommended by the World
Health Organization for cervical cancer screening. VIA is simple and low-cost; it, however …
Health Organization for cervical cancer screening. VIA is simple and low-cost; it, however …
Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images
T Zhang, Y Luo, P Li, P Liu, Y Du, P Sun… - … signal processing and …, 2020 - Elsevier
Colposcopy is currently a common medical technique for preventing cervical cancer.
However, with the increase of the workload, screening by artificial vision has the problems of …
However, with the increase of the workload, screening by artificial vision has the problems of …
Deep metric learning for cervical image classification
Cervical cancer is caused by the persistent infection of certain types of the Human
Papillomavirus (HPV) and is a leading cause of female mortality particularly in low and …
Papillomavirus (HPV) and is a leading cause of female mortality particularly in low and …
MobileNetV2 ensemble for cervical precancerous lesions classification
C Buiu, VR Dănăilă, CN Răduţă - Processes, 2020 - mdpi.com
Women's cancers remain a major challenge for many health systems. Between 1991 and
2017, the death rate for all major cancers fell continuously in the United States, excluding …
2017, the death rate for all major cancers fell continuously in the United States, excluding …
Dual-attention EfficientNet based on multi-view feature fusion for cervical squamous intraepithelial lesions diagnosis
Y Guo, Y Wang, H Yang, J Zhang, Q Sun - Biocybernetics and Biomedical …, 2022 - Elsevier
Cervicograms are widely used in cervical cancer screening but exhibit a high misdiagnosis
rate. Even senior experts show only 48% specificity on clinical examinations. Most existing …
rate. Even senior experts show only 48% specificity on clinical examinations. Most existing …
Automated methods for the decision support of cervical cancer screening using digital colposcopies
Cervical cancer remains a significant cause of mortality in low-income countries. However, it
can often be cured by removing the affected tissues when detected in early stages …
can often be cured by removing the affected tissues when detected in early stages …
Detection of cervical lesions in colposcopic images based on the RetinaNet method
J Chen, P Li, T Xu, H Xue, X Wang, Y Li, H Lin… - … Signal Processing and …, 2022 - Elsevier
There is a critical requirement for detecting cervical lesions through colposcopic images in
computer-aided diagnosis. Compared to images from natural scenes, colposcopic images …
computer-aided diagnosis. Compared to images from natural scenes, colposcopic images …
Cervical Lesion Classification Method Based on Cross‐Validation Decision Fusion Method of Vision Transformer and DenseNet
P Li, X Wang, P Liu, T Xu, P Sun… - Journal of Healthcare …, 2022 - Wiley Online Library
Objective. In order to better adapt to clinical applications, this paper proposes a cross‐
validation decision‐making fusion method of Vision Transformer and DenseNet161 …
validation decision‐making fusion method of Vision Transformer and DenseNet161 …
Multi-modal fusion learning for cervical dysplasia diagnosis
Fusion of multi-modal information from a patient's screening tests can help improve the
diagnostic accuracy of cervical dysplasia. In this paper, we present a novel multi-modal …
diagnostic accuracy of cervical dysplasia. In this paper, we present a novel multi-modal …