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Luoxd1996 / RobustNPC

[GreenJournal2023] Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study
https://www.sciencedirect.com/science/article/pii/S016781402300018X
MIT License
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How to train my own data in your project #1

Open huangsusan opened 1 year ago

huangsusan commented 1 year ago

Hi: Your work is very well，and I want try your data augmentation meathd in my own data.Which program can I run to train my data?

Wish your replay Thanks!

Luoxd1996 commented 1 year ago

Hi, Thanks for your attention to our work, the data augmentation method used in our paper can be found here. But, I want to point out that extending these data augmentation to nnUNet it's very difficult if you do not modify the code of nnUNet. So, you can use this code in our codebase, it's very easy to use. Best, Xiangde Luo.

huangsusan commented 1 year ago

Hi： Sorry to bother you again,which codebase do you mean by 'our codebase'?

Best wishes! Su Huang

------------------ 原始邮件 ------------------ 发件人: "Xiangde @.>; 发送时间: 2023年3月16日(星期四) 上午10:42 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [Luoxd1996/RobustNPC] How to train my own data in your project (Issue #1)

Hi, Thanks for your attention to our work, the data augmentation method used in our paper can be found here. But, I want to point out that extending these data augmentation to nnUNet it's very difficult if you do not modify the code of nnUNet. So, you can use this code in our codebase, it's very easy to use. Best, Xiangde Luo.

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