BiASAM: Bidirectional-Attention Guided Segment Anything Model for Very Few-Shot Medical Image Segmentation

Wei Zhou; Gongshun Guan; Wei Meng; Yugen Yi

doi:10.1109/lsp.2024.3513240

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BiASAM: Bidirectional-Attention Guided Segment Anything Model for Very Few-Shot Medical Image Segmentation

Wei Zhou Gongshun Guan Wei Meng Yugen Yi

Year: 2024 Journal: IEEE Signal Processing Letters Vol: 32 Pages: 246-250 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lsp.2024.3513240

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Keywords:

Image segmentation Computer vision Artificial intelligence Computer science Shot (pellet) Segmentation Scale-space segmentation Medical imaging Image (mathematics) Pattern recognition (psychology)

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Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

BiASAM: Bidirectional-Attention Guided Segment Anything Model for Very Few-Shot Medical Image Segmentation

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