Interactive image segmentation combines human expertise with computational algorithms to delineate anatomical structures or regions of interest within medical images. Unlike fully automated methods, ...
Medical image segmentation plays a vital role in the early and precise detection of prostate cancer, which continues to be a major cause of morbidity among men. The research proposes a strong ...
A new MLP-based segmentation method combining mixer layers with channel attention achieved a Dice coefficient of 81.45 ...
Segment anything is not always perfect: an investigation of SAM on different real-world applications
Researchers adopt everything mode to obtain SAM segmentations (right). The ground truth is masked with image for reference purpose (left). Best view is obtained when zooming in. Growing interest has ...
Traditional live-cell imaging often depends on fluorescent labels that can alter cell behavior and add complexity to experimental workflows. AI-powered image analysis now enables researchers to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results