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

Cervical cancer remains a major health threat for women globally, with the highest incidence in developing nations. Despite the availability of preventive measures, challenges such as limited ...

Schematic representation of AI-assisted cervical cytology image analysis. (A) Whole slide image (WSI) level: Digitalization of cervical liquid-based preparation samples; (B) Patch level: WSIs are ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.

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 ...

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...

Recent advancements include targeted agents, immunotherapy, and fertility-sparing surgeries for patients with advanced ...