Closed huliangxiao closed 6 months ago
It is a middle file which is produced during the data generating stage.
This file contains information of all lung nodules from the original xml file .
Please see https://github.com/jcausey-astate/NoduleX_code for generating the datasets from the original datas.
thanks, i'll try~
does the csv_and_feature_file_tools folder generate the .csv and .pkl file? and what is the *mhd? i don't find the code.
sorry for bothering, but i really need ur help.
No, the .mhd file is the 3D volume preprocessed from the original LIDC-IDRI dataset.
These files are generated by my own preprocessing code which is modified based on NoduleX's code.
I think you can follow this part from NoduleX directly since I cannot find my data generating codes.
Besides, you can modify that code to create your own.
It is basically a process that crops small lung nodules from the entire body (3D volumes) and records its benign-malignancy and other information in a csv file.
ok, thank you!
hello,im confused about “LIDC_mask_all.pkl” This code exists in the preprocessing phase,where can i generate this .pkl file?perhaps ,where can i download this file? I would like to know the processing relationship between each folder. i really need your help,thank you very much!
This is a generated middle-stage data by me. It contains the information about the lung nodules.
I have remove it from the project in GitHub since I am not allow to redistribute data.
Those information can be found in original datasets.
Please follow the given links for data preprocessing.
On 9 Apr 2020, at 9:07 AM, shuyao-zhang notifications@github.com wrote:
hello,im confused about “LIDC_mask_all.pkl” This code exists in the preprocessing phase,where can i generate this .pkl file?perhaps ,where can i download this file? I would like to know the processing relationship between each folder. i really need your help,thank you very much!
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hello, i'm confused about the code below, the dateset don't provide the csv and pkl file
please tell where is wrong, thanks a lot!