Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

“The core AI model developed through this research can be adopted as the brain of a software system to be used to assist the doctors for decision-making in cancer diagnosis," added Shafiabady. "The ...

Cancer biology is a rapidly evolving field, with pathology and biomarker research at the forefront of innovations in ...

A groundbreaking study conducted by the University of Luebeck and the University Medical Center Schleswig-Holstein (UKSH), Campus Luebeck, in collaboration with the company Vara, has demonstrated that ...

AI-powered tools in mammography screening deliver groundbreaking improvements in cancer detection, helping radiologists catch more cancers early while reducing unnecessary patient recalls. Study: ...

—In this study, molecular classification of endometrial cancer with cervical stromal invasion was associated with recurrence-free survival by univariate analysis. But after controlling for tumor stage ...

Innovative diagnostic kit uses fluorescence-based detection to achieve 90% accuracy in identifying early-stage bladder cancer. Study: Diagnosis of early-stage bladder cancer via unprocessed urine ...

{image id=1352663 align=left size=large byline=true caption="The Massachusetts General Hospital, home to Mass Eye and Ear and part of the Mass General Brigham system ...