Cervical cancer detection has witnessed significant advancements through the integration of deep learning techniques into medical imaging and diagnostic procedures. Modern deep learning methods, ...

AI can be used to detect cervical cancer in women in resource-limited parts of the world. However, for this method to work, investments are needed in healthcare staff, reliable supply chains and trust ...

User interface of the Intelligent Digital Education Tool for Colposcopy (iDECO). This figure illustrates the main user interface of iDECO, a bilingual (Chinese and English) web-based platform for ...

Cervical cancer, one of the most preventable yet lethal malignancies among women, continues to threaten lives globally due to unequal access to quality screening and diagnosis. To close this gap, ...

UF Health Cancer Institute is taking women’s screening awareness on the road during National Cervical Cancer Awareness Month. The institute’s Mobile Cancer Screening Connector is a bus turned into a ...

In 2026, cervical cancer remains a stark reminder of global health inequity, with women in low-income countries and ...