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 ...

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.

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 ...

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 ...

MANILA, Philippines — Mortality due to cervical cancer comes at an alarming rate. In the Philippines alone, 68% of women diagnosed with cervical cancer die within a year, which is an alarming ...

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 ...

Cervical cancer treatment evolves with molecular screening and immunotherapies, emphasizing early detection as key to ...

A Pap Smear Test typically detects cell changes in your cervix that could lead to cervical cancer. This is an important ...