[MICCAI2019] Overfitting of neural nets under class imbalance: Analysis and improvements for segment
作者單位： Zeju Li，Biomedical Image Analysis Group, Imperial College London 分析 在前景比較少（類別不平衡）的分割場景中，逐步減少訓練數據量，作者發現precision穩定，sensitivity下降明顯。 作者進一步可視化分類層的輸出，發現1、前景離決策面太近，背景離決策面較遠；2、隨訓練數據量減少，前景train和test的均值
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相關文章
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