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In this issue, I explore the work done to segment MS lesion in the spinal cord using the STU-Net.
I used the code from this repo: https://github.com/uni-medical/STU-Net
The dataset used is the …
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Opening this issue to discuss the results and the performances of the models trained to segment MS lesions in the spinal cord.
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We are working on universal/contrast-agnostic models for lesion or spinal cord segmentation. But it seems like going for a single model/segmentation head for segmenting the lesions of all sites is an …
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![ambiguity_L_FI_score_detection](https://github.com/user-attachments/assets/007b8eae-2db5-4495-846b-e3f10de89326)
Dear @vpchung, @rachitsaluja,
First of all, thank you for sharing lesion-wise e…
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Some degenerative cervical myelopathy (DCM) patients have T2w/T2*w hyperintense lesions. Similarly to SCI and MS lesions, it would be great to automate their segmentation.
So far, we have available…
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In this issue, I detail the work done:
- to get MS lesion segmentation using the current best model.
- to manually correct those lesion segmentations
I created the file `monai/run_inference.py` …
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In the paper, it's written that the images are randomly divided into three subsets for training, validating and testing, respectively.
While in this repo, authors perform 5-folds cross-validation.
S…
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In this issue, I explore how removing the brain and the brain stem improves the performance of the model for segmenting spinal lesions in MS.
The brain/brain stem were removed using the contrast a…
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Hello, I encountered the following problem while using the ProstateX dataset to segment lesions. The data and masks I used are from the following sources:
Data: https://wiki.cancerimagingarchive.ne…
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@thuhoainguyen Please write here (or attach the file) about thesis objectives. I will help you with the code but I need to understand the objectives...