We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

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.

Tides have changed with the Gemini 3 update, bringing Nano Banana Pro image generation to a wider range of users. The images are so realistic that Google provides an extension that detects images with ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

For years, we’ve trusted machines to tell us what’s happening inside our bodies, but dogs have been outperforming technology in one critical area: disease detection. Studies show dogs can smell cancer ...

Cancer continues to be one of the world's top causes of death, partly because of delayed discovery of the disease. But according to a recently released study, a simple blood test may be able to ...

Talk about a breath of fresh air. Researchers have developed a groundbreaking device that may one day make detecting lung cancer as easy as exhaling. “We built a screening tool that could allow ...

"No cancer signal detected." The blood test results popped up in my online health portal without much fanfare. A doctor would chat about them with me later, congratulating me on the "phew"-worthy ...

Only about 75% of eligible U.S. women schedule regular screenings. When it comes to early detection, mammograms remain the only screening test proven to reduce deaths from breast cancer in ...

KANSAS CITY, Kan. (KCTV) - The University of Kansas Health System is using artificial intelligence to help detect breast cancer, though new research shows the technology has limitations. Dr. Jessica ...