Artificial intelligence is moving from the lab bench into the operating room, promising to spot and classify brain tumors with a level of speed and precision that would have sounded like science ...

Abstract: This study is an exploration of using the state of the art in object detection models, YOLOv12, for automatic brain tumor diagnosis from MRI scans. Brain tumors frighten most people because ...

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...

Filippo Beleggia, MD, PhD, didn’t believe his own data. As a postdoctoral researcher, he spent years in the laboratory of Christian Reinhardt, MD, PhD, at the University Hospital Cologne, Cologne, ...

A new nasal-delivered nanotherapy shows promise against aggressive glioblastoma tumors. By activating the STING immune pathway using gold-core spherical nucleic acids, researchers were able to reach ...

Automated skin lesion classification using ResNet50 transfer learning on HAM10000 dataset. Achieved ~83% accuracy across 7 diagnostic categories. MATLAB implementation for VCU Image Analysis course.