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 ...

In earlier times, cells would have to be hand-checked, in a process that took time and effort and offered little reward.

This is a preview. Log in through your library . Abstract Due to physiological changes during the perimenopausal period, the morphology of cervical cells undergoes certain alterations. Accurate cell ...

UC San Diego researchers developed a machine learning model that accurately predicts skin cancer risk across ancestries, improving equity in early detection and outcomes using genetics, lifestyle, and ...

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 ...