Melanoma testing could one day be done at home with a skin patch and test strip with two lines, similar to COVID-19 home ...

Until today, skin, brain, and all tissues of the human body were difficult to observe in detail with an optical microscope, since the contrast in the image was hindered by the high density of their ...

The skin often reflects heart health. Harvard doctors highlight skin signs that may indicate cardiovascular issues. These include swelling, discolouration, and unusual growths. The American Academy of ...

Ensuring the security and integrity of medical images is crucial for telemedicine. Recently, deep learning-based image encryption techniques have significantly improved data transmission security.

A total of 1,454 X-ray images were analyzed using the scientists' system. Performance rates for the lumbar and femur of patients with bone density loss, or osteopenia, were 86.4% and 84.1% ...

Few-shot medical image segmentation (FSMIS) is a more promising solution for medical image segmentation tasks where high-quality annotations are naturally scarce. However, current mainstream methods ...

Find all the latest on medical images at Medical Xpress. Your go-to source for news, research, and medical breakthroughs.

Ten Stunning Nature Photos From the BigPicture 2025 From the beautiful to the bizarre, this annual photographic showcase shines a light on some of our planet’s most breathtaking species and places ...

New Maxar satellite images reveal the extent of damage at Iranian nuclear sites following US and Israeli air strikes. Some photos show signs of a clean up under way with bombing craters being ...

The first images from the brand new Vera C. Rubin Observatory have finally been unveiled, and they show us the cosmos like never before. The camera captures so much detail that its first complete ...

The world’s first multimodal, bilingual radiology dataset could reshape the way radiologists and AI systems make sense of X-rays. PadChest-GR, developed by the University of Alicante with Microsoft ...