Gastrointestinal cancers pose a significant global health challenge, with over 1.2 million cases diagnosed annually, nearly 40% in China. Abdominal body composition plays a crucial role in prognosis, influencing treatment outcomes. However, traditional analysis methods rely on manual radiologist annotation, which is time-consuming and costly, limiting large-scale research and hindering advancements in personalized cancer care.
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