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eess.IV2023★ 65 cited
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets
Sheng He, Rina Bao, Jingpeng Li +4
Background: The segment-anything model (SAM), introduced in April 2023, shows promise as a benchmark model and a universal solution to segment various natural images. It comes with…
eess.IV2022
Segmentation Ability Map: Interpret deep features for medical image segmentation
Sheng He, Yanfang Feng, P. Ellen Grant +1
Deep convolutional neural networks (CNNs) have been widely used for medical image segmentation. In most studies, only the output layer is exploited to compute the final segmentatio…