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hello, i'm confused about the code below, the dateset don't provide the csv and pkl file
1. file_list = glob(original_data_path + "Images_3/" + "*.mhd")
2. csv_info = pd.read_csv(os.path.join(orig…
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Hi Ishaan,
Very interesting work and result.
I was wondering if you had split the data into train/val/test on a per patient level? It was not clear to me from your paper.
Thanks in advance for th…
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Hello, I have been working on this topic for a while. The question I want to ask is whether I can use your algorithm for biplanar rather than monoplanar. I have a custom dataset. I have a DCM skull an…
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```
dir_names = dir_[len(Folders_Path):].split("/")
save_fileName = "__".join(dir_names[:-1])
```
'save_fileName' has no output
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Dear Authors,
Thanks for your impressive works.
Is any future to release the pre-trained model so it wil be really beneficial for this community.
I am working on generate realistic tumor on hea…
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Dear authors,
Thank you for your fantastic work! Could you please share the inference code? If using the Pretrained Model (suppose using your uploaded one), how to use only two X-rays (PA and late…
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sorry first. This is very disturbing. After I run through the program, the result has been wrong. I have never run Anchor-based detection methods including yolo series before
my run :
```
python t…
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In the paper (Baumgartner M., Jäger P.F., Isensee F., Maier-Hein K.H. (2021) nnDetection: A Self-configuring Method for Medical Object Detection. In: de Bruijne M. et al. (eds) Medical Image Computing…
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Hi @JoHof
I tried using the Unet R231 model on Dicom Images from the [LIDC-IDRI Dataset](https://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI#:~:text=The%20Lung%20Image%20Database%20Cons…
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Thank you for your awesome work!
I'm very interested in your PerX2CT, but the [LIDC-IDRI](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041807/) dataset is over 100G. Could you provide some test sa…