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xunfei2022BrainVesselSegementation

使用monai+pytorch-lightning版本最高得分为0.84左右。
使用nnunet版本最高得分为0.89左右,最终初榜排名为15。
nnunet版本中使用了fsl工具包里面的bet2算法去除颅骨和头皮。
注意事项:
1、后续者可试试将nnunet版本的优化器从sgd更换为adamw,学习率控制使用余弦退火,不过这需要手动安装nnunet版本改起来方便点,本人通过pip命令安装的nnunet,所以就没有试过这个思路。
2、monai版本运行时直接运行main.py,在该版本中我试过了随机翻转,随机旋转,随机缩放,高斯噪声等(基本把nnunet的数据增强方法都试过一遍),但是效果均不如不使用任何数据增强训练出来的模型,我不知道是不是自己哪里没写对,如果后续者发现了我的问题,欢迎和我联系探讨,QQ:1152545264

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