most citedComprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 4 cited

Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models

Sumit Pandey, Kuan-Fu Chen, Erik B. Dam

This paper introduces a comprehensive approach for segmenting regions of interest (ROI) in diverse medical imaging datasets, encompassing ultrasound, CT scans, and X-ray images. Th…