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SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
March 26, 2024, 4:49 a.m. | Wenxi Yue, Jing Zhang, Kun Hu, Qiuxia Wu, Zongyuan Ge, Yong Xia, Jiebo Luo, Zhiyong Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: The Segment Anything Model (SAM) exhibits promise in generic object segmentation and offers potential for various applications. Existing methods have applied SAM to surgical instrument segmentation (SIS) by tuning SAM-based frameworks with surgical data. However, they fall short in two crucial aspects: (1) Straightforward model tuning with instrument masks treats each instrument as a single entity, neglecting their complex structures and fine-grained details; and (2) Instrument category-based prompts are not flexible and informative enough to …
arxiv collaborative cs.ai cs.cv cs.ro part prompting sam segmentation type
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