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How much data is typically required to train nnU-Net for segmenting veins and arteries? I have used 500 datasets, but the final performance is only 0.8. How can I improve it?
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Dear nnUNet Developer,
Thank you for your outstanding work on this project.
I am currently encountering an issue while attempting to configure the Residual Encoder. Below is the command I execut…
ABMRI updated
5 months ago
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First, thank you very much for sharing this amazing project and source code. Really helpful for my study !!
Sorry but i have a question about BraTS2021 dataset preprocessing.
Can you share the det…
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We need to re-train our models using nnUNet and compare performance with ivadomed. There are already scripts to convert microscopy BIDS dataset to nnunetv2 format (e.g. https://github.com/axondeepseg/…
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Hi Team,
1. What is class_locations, crop_bbox, use_nonzero_mask_for_norm?
2. What is class_locations, crop_bbox, use_nonzero_mask_for_norm, size_after_cropping, size_after_resampling used for?
…
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**1) Dataset**
The first training was done on 14 subjects (segmented manually by LTL) from the spine-generic and OpenNeuro datasets. Manual segmentation of the ventral rootlets was done while the dor…
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Dear all,
I have been testing the nnUnet pipeline in Azure. I am performing preliminary tests with N=25 3d images, in a compute instance with 200GB of RAM and a Nvidia V100 with 16GB of vRAM.
None…
rfrs updated
5 months ago
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Hi, I tried to run the inference on the CPU but got the below error.
```
File "\inference\predict_from_raw_data.py", line 494, in predict_logits_from_preprocessed_data
prediction += self.predi…
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I tried running 25 lung ADC images (apparent diffusion coefficient maps), but the 3d_lowres failed, and the model's performance was poor. The dice coefficient always remains 0.0.
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I got bellow info while training the 2d nnUNet.
What does it mean?
W0802 02:46:28.022000 128125000193856 torch/fx/experimental/symbolic_shapes.py:4449] [0/0] xindex is not in var_ranges, defaultin…