The first CE-marked IA for the detection ... detecting bone lesions on CT scan images. Designed to automatically analyze TAP (thorax-abdomen-pelvis) scanner images and detect bone lesions, the ...

A major impact for oncology imaging Early detection of bone ... scanner images and detect bone lesions, the solution relies on cutting-edge deep learning algorithms to accurately identify ...

Aiming to shorten fracture recovery times, a research group is focusing on plasma irradiation as a treatment method to speed up bone healing. "Break a leg!" is a welcome blessing of good luck ...

Reassuringly, the algorithm was not using nonsensical portions of the image, such as fat or cortical bone or even background artifacts. We believe this AI algorithm is using biological reasons. What ...

This paper proposes a small samples containment vessel cracks detection algorithm using the latent diffusion model data expansion and improved Faster-RCNN. There are primarily two parts to this ...

Our method relies solely on the accurate and rapid detection of lower limb bone edges to align and proceed with ... angle calculation was performed on a Windows computer using Python and the RCNN ...

A 60-year-old woman with multiple myeloma. Two-millimeter noncontrast-enhanced axial energy-integrating detector CT image (left), 2-mm noncontrast-enhanced axial photon-counting detector (PCD) CT ...