Interactive image segmentation combines human expertise with computational algorithms to delineate anatomical structures or regions of interest within medical images. Unlike fully automated methods, ...
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 ...
Medical image segmentation involves the partitioning of radiological or microscopic images into anatomically or pathologically meaningful regions. Classical approaches such as thresholding, region ...
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