Learning Contextual and Attentive Information for Brain Tumor Segmentation
摘要 本文提出了一个单通多任务网络，组合多个不同的CNNs结构，综合它们的分割结果来获取一个更为精确的最终分割结果。 Dataset :本文采用的数据集是Brats2018 结果 本文在Valiation数据集上取得了79.22、90.74、83.58的dice 数据处理 本文对于数据所进行的处理就是对每张图像分别进行了图像归一化 方法： 将多分类任务分成三个不同但又相关的子任务来处理类别不平衡问
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相关文章
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