基于UNet的肝脏CT分割（数字图像处理大作业）
pytorch==1.2.0 python==3.6.12 skimage==0.19.1 opencv-python==4.4 其他库按需求安装
大约50分钟，可以先执行train()再执行test_1()函数 train()函数的模型保存在weight_19.pth当中
当中保存着测试集数据的效果，图片从左到右分别为：原肝脏CT切片，人工标注的mask，训练出的模型预测效果
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