【論文閱讀筆記】RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans
本文發佈在IEEE Symposium on Biomedical Imaging (ISBI) 2018，通過深度學習檢測CT中的腦出血。根據作者描述，本文旨在模擬醫生檢測三維CT的方式構建網絡結構，即：在遍歷二維切片的同時重點關注潛在的出血區域。本文的網絡結構如圖： 文章亮點如下： 1.基礎網絡結構是DenseNet，三個分叉的輔助出血區域分類任務使模型學會關注出血區域，分類區域引
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