Artificial intelligence-assisted fast screening cervical high grade squamous intraepithelial lesion and squamous cell carcinoma diagnosis and treatment planning

CW Wang, YA Liou, YJ Lin, CC Chang, PH Chu… - Scientific Reports, 2021 - nature.com
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 …

The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images

C Yuan, Y Yao, B Cheng, Y Cheng, Y Li, Y Li, X Liu… - Scientific reports, 2020 - nature.com
Background Deep learning has presented considerable potential and is gaining more
importance in computer assisted diagnosis. As the gold standard for pathologically …

A survey for cervical cytopathology image analysis using deep learning

MM Rahaman, C Li, X Wu, Y Yao, Z Hu, T Jiang… - IEEE …, 2020 - ieeexplore.ieee.org
Cervical cancer is one of the most common and deadliest cancers among women. Despite
that, this cancer is entirely treatable if it is detected at a precancerous stage. Pap smear test …

[HTML][HTML] ColpoNet for automated cervical cancer screening using colposcopy images

SK Saini, V Bansal, R Kaur, M Juneja - Machine Vision and Applications, 2020 - Springer
Cervical cancer is one among the trivial forms of cancer that counts for 6.6% of all females
cancers with an estimated 570,000 new cases in 2018. The mortality rate due to cervical …

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques

MM Rahaman, C Li, Y Yao, F Kulwa, X Wu, X Li… - Computers in Biology …, 2021 - Elsevier
Cervical cancer, one of the most common fatal cancers among women, can be prevented by
regular screening to detect any precancerous lesions at early stages and treat them. Pap …

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 …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types

Y Miyagi, K Takehara, Y Nagayasu… - Oncology …, 2020 - spandidos-publications.com
The aim of the present study was to explore the feasibility of using deep learning, such as
artificial intelligence (AI), to classify cervical squamous epithelial lesions (SILs) from …

A fully-automated deep learning pipeline for cervical cancer classification

Z Alyafeai, L Ghouti - Expert Systems with Applications, 2020 - Elsevier
Cervical cancer ranks the fourth most common cancer among females worldwide with
roughly 528, 000 new cases yearly. Around 85% of the new cases occurred in less …

Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images

Y Miyagi, K Takehara, T Miyake - … and clinical oncology, 2019 - spandidos-publications.com
The aim of the present study was to explore the feasibility of using deep learning as artificial
intelligence (AI) to classify cervical squamous epithelial lesions (SIL) from colposcopy …

Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis

H Lin, H Chen, X Wang, Q Wang, L Wang… - Medical Image Analysis, 2021 - Elsevier
Cervical cancer has been one of the most lethal cancers threatening women's health.
Nevertheless, the incidence of cervical cancer can be effectively minimized with preventive …