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

Research article (2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023) · cited 95× · AI/ML
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Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models

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Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models is a scholarly article[1].

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  • Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/comprehensive-multimodal-segmentation-in-medical-imaging-combining-yolov8-with-sam-and-hq-sam-models
MLA “Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comprehensive-multimodal-segmentation-in-medical-imaging-combining-yolov8-with-sam-and-hq-sam-models.
BibTeX @misc{4ortxyz_comprehensive-multimodal-segmentation-in-medical-imaging-combining-yolov8-with-sam-and-hq-sam-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models}}, year = {2026}, url = {https://4ort.xyz/entity/comprehensive-multimodal-segmentation-in-medical-imaging-combining-yolov8-with-sam-and-hq-sam-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models — https://4ort.xyz/entity/comprehensive-multimodal-segmentation-in-medical-imaging-combining-yolov8-with-sam-and-hq-sam-models (retrieved 2026-05-24)

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