CA-Net:用于可解释医学图像分割的综合注意力卷积神经网络代码

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CA-Net:用于可解释医学图像分割的综合注意力卷积神经网络 该存储库提供“ CA-Net:可解释医学图像分割的综合注意力卷积神经网络”的代码。 现在可以在上我们的工作。 接受了我们的工作。 图1. CA-Net的结构。 图2.皮肤病变分割。 图3.胎盘和胎脑分割。 要求条件 一些重要的必需软件包包括: 版本> = 0.4.1。 智慧 Python == 3.7 一些基本的python软件包,例如Numpy。 按照官方的指导安装 。 用法 用于皮肤病变分割 首先,您可以在下载数据集。 我们仅使用了ISIC 2018 task1训练数据集,要对数据集进行预处理并另存为“ .npy”,请运行: python isic_preprocess.py 为了进行5倍交叉验证,请将预处理数据分成5倍并保存其文件名。 跑步: python create_folder.py 要在ISI

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