Multimodal Large Language Model for Zero-Shot L3 Body Composition Segmentation on CT: Improved Accuracy via Automated Candidate Selection
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The purpose of the study is to evaluate zero-shot L3 body composition segmentation on computed tomography (CT) using a general-purpose multimodal large language model (MLLM) and to assess whether automated candidate selection improves segmentation accuracy. Th... ...
