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3D segmentation based on FcDensenet
This project forked from zhang-shi-chang/3dfcdensenet
3D segmentation based on FcDensenet
输入网络的数据尺寸是一个很重要的参数,从数据集生成到训练到测试,这个参数要保持一致,否则会出错 1、生成数据集 python DataProcessing.py 32 32是输入网络的数据尺寸,即32*32*32,生成的数据集保存在processed_dataset文件夹中 2、训练 python Train.py 32 16 1000 32是输入网络的数据尺寸,16是batch size,根据运行环境改变,1000是迭代次数,根据精度和iou情况自行停止训练或加大迭代次数 3、测试 python Test.py 32 test_dataset/1000_3.nrrd test_result 32是输入网络的数据尺寸,test_dataset/1000_3.nrrd是测试的数据,测试数据集存放在test_dataset中,test_result是测试保存结果的路径
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