GE醫療利用 AWS打造首個全身3D MRI模型，實現更精準醫學影像解析
MRI 圖像因其複雜性和數據量大，一直以來都是醫學影像分析中的一大挑戰。爲了訓練大型語言模型（LLM）進行 MRI 分析，開發者不得不將獲取的圖像切割爲2D 圖像，這樣的處理雖然可行，但卻限制了模型對複雜解剖結構的分析能力，尤其是在腦腫瘤、骨骼疾病或心血管疾病等複雜案例中。圖源備註:圖片由AI生成，圖片授權服務商Midjourney不過，GE 醫療在今年的 AWS re:Invent 大會上發佈了行業首個全身3D MRI 研究基礎模型（FM），這標誌着 MRI 模型終於可以利用整個身體的3D 圖像。這一模型是基於
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