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I found a variable *y* wasn't used in this line: https://github.com/pykao/BraTS2018-tumor-segmentation/blob/master/models/unet.py#L43
Could you consider this case?
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## 🚀 Feature
Crop labels to exclude background while showing thumbnails in layer list.
## Motivation
For radiological images, segmentation of tumor occupies a lot fewer voxels compared to the und…
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After 30 epoches training corresponding to ‘’fold0_idx.npy',the val loss is still 0.8 more or less. Is there any one facing the situation like me?
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### Instructions
The github issue tracker is for bug reports, feature requests, and API documentation requests. General questions about how to use the GATK, how to interpret the output, etc. should…
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Hi,
I'm trying to finetune nnUNet for a brain tumor segmentation task using pretrained weights from Task082_BraTS2020. My data consists of brain MRI images with 4 input modalities, and the labels m…
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File location: /xxxxxx
Original mask location: /xxxx/xxx
Pathology report location: /xxxxx/xxx
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Collection: https://doi.org/10.7937/K9/TCIA.2017.dwehtz9v
Data description: These MRIs are pre-operative examinations performed in 159 subjects with Low Grade Gliomas (WHO grade II & III). Segmenta…
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Hi, I found the TypeError while run train.py. the detail is as follows:
> Traceback (most recent call last):
> File "train.py", line 108, in
> brain_seg = Training(batch_size=4,nb_epoch=3,…
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Hi Ivan,
I am wondering, inside the data loader the outputmodes used for different combination of parameter prediction for reaction diffusion model.
But for the mass effect model in the paper table …
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hi thanks for your great work.
i am working on brain tumor segmentation, could i use this model and its ckpt to generate a useful text from brain image(like image captioning, but in medical domain)…