💻 computer science
A Multi-Agent Framework for Explainable Brain Tumour Instance Segmentation and Clinical Report Generation Using ASIO-Optimised YOLO Architectures
This paper presents a novel multi-agent framework that integrates ASIO-optimized YOLO architectures (v8, v11, and 26) with Qwen-powered LLM agents to achieve high-precision brain tumor instance segmentation and automated, explainable clinical report generation with rapid inference latency.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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