A Pre-trained Convolutional Neural Network Based Method for Thyroid Nodule Diagnosis論文記錄
最近看了幾篇關於遷移學習的論文，並且是關於醫學圖像的分類問題的。下面介紹一篇論文基於預訓練神經網絡的甲狀腺結節診斷。這篇文章是對甲狀腺（thyroid nodule）的良惡性進行分類。文中提出了一種用融合CNN的方法來做，具體是用到遷移學習預訓練2個CNN，再微調，分別輸出最後一層全連接層特徵，進行合併，融合後在放入softmax classifier進行分類。論文裏也做了很多對比實驗，包括與影像
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相關文章
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