Artificial intelligence in cervical cancer screening and diagnosis

X Hou, G Shen, L Zhou, Y Li, T Wang, X Ma - Frontiers in oncology, 2022 - frontiersin.org
Cervical cancer remains a leading cause of cancer death in women, seriously threatening
their physical and mental health. It is an easily preventable cancer with early screening and …

Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology

Y Jiang, C Wang, S Zhou - Seminars in cancer biology, 2023 - Elsevier
As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

An observational study of deep learning and automated evaluation of cervical images for cancer screening

L Hu, D Bell, S Antani, Z Xue, K Yu… - JNCI: Journal of the …, 2019 - academic.oup.com
Background Human papillomavirus vaccination and cervical screening are lacking in most
lower resource settings, where approximately 80% of more than 500 000 cancer cases …

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 …

The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence

P Xue, MTA Ng, Y Qiao - BMC medicine, 2020 - Springer
Abstract Background The World Health Organization (WHO) called for global action towards
the elimination of cervical cancer. One of the main strategies is to screen 70% of women at …

Multimodal deep learning for cervical dysplasia diagnosis

T Xu, H Zhang, X Huang, S Zhang… - Medical Image Computing …, 2016 - Springer
To improve the diagnostic accuracy of cervical dysplasia, it is important to fuse multimodal
information collected during a patient's screening visit. However, current multimodal …

Cervical cancer diagnostics healthcare system using hybrid object detection adversarial networks

R Elakkiya, V Subramaniyaswamy… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Cervical cancer is one of the common cancers among women and it causes significant
mortality in many developing countries. Diagnosis of cervical lesions is done using pap …

Computer-aided cervical cancer diagnosis using time-lapsed colposcopic images

Y Li, J Chen, P Xue, C Tang, J Chang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Cervical cancer causes the fourth most cancer-related deaths of women worldwide. Early
detection of cervical intraepithelial neoplasia (CIN) can significantly increase the survival …

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 EfficientNet‐B0 and GRU‐based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions

X Chen, X Pu, Z Chen, L Li, KN Zhao, H Liu… - Cancer …, 2023 - Wiley Online Library
Background Colposcopy is indispensable for the diagnosis of cervical lesions. However, its
diagnosis accuracy for high‐grade squamous intraepithelial lesion (HSIL) is at about 50 …