淺談人工智慧在醫學影像的應用

10.6666/ClinMed.202001_85(1).0004

郭宜欣；薛丞勛；高家祥；孫英洲

醫學影像（medical imaging） ； 人工智慧（artificial intelligence） ； 電腦輔助診斷（computer aided diagnosis）

臨床醫學月刊

85卷1期（2020 / 01 / 31）

14 - 20

繁體中文

動物採用邊緣檢測與輪廓檢測來初步地處理視覺訊息，人工智慧領域採用此原理，發展出能對影像進行分類與切割的卷積神經網路模型，並在以腦部電腦斷層判定顱內出血、以眼底照片預測心血管風險與以手機照片判讀皮膚癌等任務上有不遜於人類的表現。然而，深度學習模型的不易解釋、資料中疾病與病徵判讀的不一致、倫理問題與隱私問題都是有待人們努力的方向。本文回顧了以下幾點：1.卷積神經網路的作用原理；2.人工智慧在醫療影像上的應用；3.人工智慧的現況與挑戰，並給予對人工智慧未來的想像。

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