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 ...
Researchers from the University of Science and Technology Beijing have proposed a new method for cardiac image segmentation. The work, published in Journal of Shanghai Jiao Tong University, showcased ...
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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