【论文阅读笔记】RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans
本文发布在IEEE Symposium on Biomedical Imaging (ISBI) 2018，通过深度学习检测CT中的脑出血。根据作者描述，本文旨在模拟医生检测三维CT的方式构建网络结构，即：在遍历二维切片的同时重点关注潜在的出血区域。本文的网络结构如图： 文章亮点如下： 1.基础网络结构是DenseNet，三个分叉的辅助出血区域分类任务使模型学会关注出血区域，分类区域引
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