Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...

Cardiovascular diseases are a leading health concern in Hong Kong, prompting many to undergo regular heart check-ups for ...

Until recently, segmentation required large, compute-intensive neural networks. This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work ...

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While image segmentation technology is not new, SAM is noteworthy for its ability to identify objects not present in its training dataset and its partially open approach.Also, the release of the ...

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the disease, but ...

Colour image segmentation techniques form a cornerstone in modern image processing, enabling the partitioning of digital images into distinct, meaningful regions. By utilising colour information ...