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HiLab-git / PyMIC_examples

examples of using PyMIC for medical image computing with deep learning
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Data preprocess #6

Open zhangjingcode opened 2 years ago

zhangjingcode commented 2 years ago

This is impressive work!!! I want to run an example for semi-superior segmentation, however I can't find any preprocessed data in this repository. How can I process my own data for this work?

taigw commented 2 years ago

Hi, the link for the preprocessed data will be provided later. You can drop me an email for the access to the data at the current stage. @zhangjingcode

zhangjingcode commented 2 years ago

I want to know how to design my data (if I had some example ), and build segment model by your PyMIC immediately! I have 300 MRI with mask, but uncertain slices (2 label value),  I want to segment  2 region by SSL, those masks are different from ACDC. Wil PyMIC work well?

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年8月27日(星期六) 下午4:55 收件人: @.>; 抄送: "Jedi @.>; @.>; 主题: Re: [HiLab-git/PyMIC_examples] Data preprocess (Issue #6)

Hi, the link for the preprocessed data will be provided later. You can drop me an email for the access to the data at the current stage. @zhangjingcode

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taigw commented 2 years ago

The download link has been provided in the readme file. Not sure what do you mean by saying "uncertain slices", do you mean each image has labels provided by two experts?

zhangjingcode commented 2 years ago

My MRI data is 512512142, 3 discrete slices were marked as region, other 3 discrete slices were  marked  as tissue, total of 6 discrete slices were marked by radiologists.

------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年8月27日(星期六) 晚上9:19 收件人: @.>; 抄送: "Jedi @.>; @.>; 主题: Re: [HiLab-git/PyMIC_examples] Data preprocess (Issue #6)

The download link has been provided in the readme file. Not sure what do you mean by saying "uncertain slices", do you mean each image has labels provided by two experts?

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>