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Comments (7)

luofeel avatar luofeel commented on August 10, 2024 1

我这里单做肺部裁剪 得到的效果也不是特别理想 不清楚是不是中间产生什么错误还是必须添加aspp

from medicalnet.

Alagirl avatar Alagirl commented on August 10, 2024

求解答

from medicalnet.

cshwhale avatar cshwhale commented on August 10, 2024

请问你decoder部分用的是什么?demo里提供的decoder比较简单,不同任务建议用pretrain+合适的decoder,我当时做肝脏参考了ASPP。

from medicalnet.

Alagirl avatar Alagirl commented on August 10, 2024

我是直接转置卷积上采样,因为我看论文里第一阶段就是直接上采样吧,得到ROI再做ASPP的

from medicalnet.

joechenrh avatar joechenrh commented on August 10, 2024

请问你decoder部分用的是什么?demo里提供的decoder比较简单,不同任务建议用pretrain+合适的decoder,我当时做肝脏参考了ASPP。

请问是在ASPP后接上采样吗?

from medicalnet.

urmagicsmine avatar urmagicsmine commented on August 10, 2024

I have the same problem. I trained the LIDC-IDRI segmentation dataset with the MedicalNet pretrained model(resnet 18), and got a dice score lower than traning from scratch(54.8 vs 74.0). Any suggestions?

from medicalnet.

MDAooo avatar MDAooo commented on August 10, 2024

Hi @urmagicsmine @joechenrh @luofeel @Alagirl @cshwhale

For liver/liver tumor segmentation, probably you can try this post: https://github.com/MrGiovanni/ModelsGenesis/tree/master/competition

They also used a pre-trained 3D model and seemed to outperform training nnU-Net from scratch in liver/liver tumor.

from medicalnet.

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