A model trained to segment the prostate in MRI scans from one institution routinely fails when presented with scans from another hospital that uses a different scanner, a different field strength, or a different slice thickness. This is not a…
Give the Segment Anything Model a box drawn around a bone in an X-ray and it does something close to magic. Give it the same kind of box on an ultrasound image of a wrist and it frequently falls apart,…
Sam2Rad Explained: Teaching SAM2 to Prompt Itself on Ultrasound Read More »
Medical image segmentation sounds like a narrow technical task, draw a boundary around the diseased tissue, but the difficulty hides in what that boundary actually needs to capture. A tumor in a breast ultrasound image does not have a clean…
Why 3DL-Net’s Dendritic Neurons Only Help When Paired With Its Pyramid Module Read More »
Segmenting a medical image sounds simple until you try it. The boundary between a tumor and healthy tissue is often blurry rather than crisp, because soft tissue does not offer the kind of contrast a natural photograph does. The same…
Attention Mechanisms Reshaping Medical Image Segmentation Read More »