Semi-supervised Segmentation of Optic Cup in Retinal Fundus的解讀
本文的工作主要說明了目前採用分割方法對於青光眼的診斷中，邊界不明顯的optic cup相比optic disc更難分割，因此這裏只考慮optic cup的分割；本文方法的主要貢獻點在於利用大量無標籤數據的內在的特徵來訓練含有少量標籤數據集的分割模型，從而以半監督方式實現更高的分割精度；具體採用變分自編碼器從無標籤的數據集中學習數據潛在特徵空間中的內嵌特徵，然後文章將從無標籤數據中通過變分自
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相關文章
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