Using DICOM images with MONAI
See original GitHub issueHi team,
Is there any way to load DICOM images with MONAI server and use it for labelling?
Generally the nifti images which i have in the ec2 server. i will load them using MONAI while starting the server using below command
monailabel start_server --app apps/deepedit --studies datasets/Task02_Heart/imagesTr --conf epistemic_enabled true
But similar approach is not working for DICOM images. When i click on fetch next image in the 3d slicer. It raising exception as no images found.
from the logs i could see that it is expecting images of only these formats ['*.nii.gz', '*.nii', '*.nrrd']
Please let me know is there any way to use my DICOM images.
Thanks&Regards, Jani Basha S.
Issue Analytics
- State:
- Created 2 years ago
- Reactions:1
- Comments:7
Top Results From Across the Web
Get started with Dicom Images #1032 - Project-MONAI ...
Can someone please help me to work with Dicom? ... Added example to load DICOM images in MONAI: Project-MONAI/tutorials#23. Thanks.
Read more >Source code for monai.data.image_reader
This function must return two objects, the first is a numpy array of image data, the second is a dictionary of metadata. Args:...
Read more >Annotate DICOM images and build an ML model using the ...
MONAI has transforms that support both dictionary and array formats, and is specialized for the high-dimensionality of DICOM medical images. The ...
Read more >MONAI: IO, Windowing, Overlay & Saving - Kaggle
In this tutorial, we will use MONAI to read the competition data, including the DICOM files and segmentation masks, and then will go...
Read more >How to use Deep Learning for Medical Imaging using MONAI ...
MONAI : A Pytorch based DL framework. image from MONAI website. MONAI is one of the leading frameworks for addressing medical imaging ......
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Hi @GhTara , For converting dicom to nifti u can follow the links provided by @diazandr3s . But i had 60 to 80 slices of dicom files for each patient. But in your case u have only 1 file per patient. Not sure how will it look like in 3d space with single slice
Hi @GhTara,
You may find this useful: