The Segment Anything Model (SAM) is a widely used tool for image processing, but its application in ultrasound image segmentation has limitations due to the noisy nature of ultrasound images….
Continue readingThe Segment Anything Model (SAM) is a popular image processing tool for its segmentation accuracy, variety of input prompts, training capabilities, and efficient model design. However, its application to ultrasound…
Continue readingThe newly released Segment Anything Model (SAM) is a popular tool used in image processing due to its superior segmentation accuracy, input prompts, training capabilities, and efficient model design. However,…
Continue readingThis paper presents SAM-G, a new framework that uses the Segment Anything Model (SAM) to improve the generalization abilities of visual reinforcement learning (RL) agents. SAM-G uses image features from…
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