Zongming Zhang

ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding

Surgical instrument segmentation is crucial in surgical scene understanding, thereby facilitating surgical safety. Existing algorithms directly detected all instruments of predefined categories in the input image, lacking the capability to segment specific instruments according to the surgeon’s inte