Open strive160 opened 4 years ago
I have read your article and am very interested in your work. May I ask when the code can be published? This is also very helpful for my recent work.
Sorry for the late update and thanks for your interests. I will upload the code for you before the end of this week. If you have any problems further, please feel free to contact the first author.
Thank you for your prompt reply. Ask if another article A Cross-domain Metal Trace Restoring Network for Reducing X-ray CT Metal Artifacts will also publish the code this week
I have read your article and am very interested in your work. May I ask when the code can be published? This is also very helpful for my recent work.
Hi there, I have uploaded the code. Because of the COVID-19, I can not go to school and have no access to my lab server, the uploaded code is the earliest backup version, if there are any problems, please feel free to contact me, I am willing to help you to solve the problem. For our another paper, we do not have the backup code, so we can not upload it now, but I will try using VPN to get the access to my server, I will upload the code ASAP when I have the access. Besides, I am willing to discuss MAR related problems with you if you like. Hope everything goes well with you, thanks.
hello Thank you for uploading the code in time。I have seen the code you uploaded, may I ask whether there is no uploaded data set or the link of data set?
hello Thank you for uploading the code in time。I have seen the code you uploaded, may I ask whether there is no uploaded data set or the link of data set?
Yes, to my best knowledge, there is no public dataset for MAR, we used artifacts-free CT images to prepare our training dataset.
Can you provide a link to the raw artifact free Ct image data set that you used, as well as the method to generate the training set and test set, because I see that you also used multiple data sets in another article. There is no way to reproduce code without a data set
在 2020年8月24日,上午8:32,CtPeng-USTC-ND notifications@github.com 写道:
hello Thank you for uploading the code in time。I have seen the code you uploaded, may I ask whether there is no uploaded data set or the link of data set?
Yes, to my best knowledge, there is no public dataset for MAR, we used artifacts-free CT images to prepare our training dataset.
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHubhttps://github.com/CtPeng-USTC-ND/An-Irregular-Metal-Trace-Inpainting-Network-for-X-ray-CT-Metal-Artifact-Reduction/issues/1#issuecomment-678847928, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AP4JMQJVYB22BLFVHHUT4VDSCGYLBANCNFSM4QDEPE5Q.
Can you provide a link to the raw artifact free Ct image data set that you used, as well as the method to generate the training set and test set, because I see that you also used multiple data sets in another article. There is no way to reproduce code without a data set 在 2020年8月24日,上午8:32,CtPeng-USTC-ND notifications@github.com 写道: hello Thank you for uploading the code in time。I have seen the code you uploaded, may I ask whether there is no uploaded data set or the link of data set? Yes, to my best knowledge, there is no public dataset for MAR, we used artifacts-free CT images to prepare our training dataset. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub<#1 (comment)>, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AP4JMQJVYB22BLFVHHUT4VDSCGYLBANCNFSM4QDEPE5Q.
Yes, sure. I suggest you to use LUNA 16 dataset. Because these are all vertebrea CT images, which may be convinient for implanting metal(s)-usually metals in different positions (e.g., hip, ddental and vertebra) vary greatly. Besides, you may find multiple datasets we used here: https://medicine.uiowa.edu/mri/facility-resources/images/visible-human-project-ct-datasets, https://figshare.com/articles/Data1_492_492_303_uchar_raw/3403489
Can you provide a link to the raw artifact free Ct image data set that you used, as well as the method to generate the training set and test set, because I see that you also used multiple data sets in another article. There is no way to reproduce code without a data set 在 2020年8月24日,上午8:32,CtPeng-USTC-ND notifications@github.com 写道: hello Thank you for uploading the code in time。I have seen the code you uploaded, may I ask whether there is no uploaded data set or the link of data set? Yes, to my best knowledge, there is no public dataset for MAR, we used artifacts-free CT images to prepare our training dataset. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub<#1 (comment)>, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AP4JMQJVYB22BLFVHHUT4VDSCGYLBANCNFSM4QDEPE5Q.
Yes, sure. I suggest you to use LUNA 16 dataset. Because these are all vertebrea CT images, which may be convinient for implanting metal(s)-usually metals in different positions (e.g., hip, ddental and vertebra) vary greatly. Besides, you may find multiple datasets we used here: https://medicine.uiowa.edu/mri/facility-resources/images/visible-human-project-ct-datasets, https://figshare.com/articles/Data1_492_492_303_uchar_raw/3403489
One more thing, we can help to project CT images to the sinogram domain if you need (actually you can do it using the uploaded code as well).
Can you provide the code for data preprocessing and how to generate training sets and test sets
Where can I see the full text of this article, so far I have only seen the abstract of this article online, I have found the full text of your other article posted in TMI, which is also why I am eager to get the code of another article
Can you provide the code for data preprocessing and how to generate training sets and test sets
同学,可不可以提供完整的代码和数据集,这对我非常有帮助,感谢
请问是否可以提供生成训练集和数据集的代码
如果有什么不方便也请回复一下
您是不是该在readme里更新代码的使用流程和功能
这里上传的代码也没有测试代码和评价指标
你在文章里也没有提到合成数据集的方法,这里提供的代码也是不全的
请问什么时候可以公布完整的代码
I have read your article and am very interested in your work. May I ask when the code can be published? This is also very helpful for my recent work.