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* Name of dataset: 2019 Kidney and Kidney Tumor Segmentation (Kits19)
* URL of dataset: https://kits19.grand-challenge.org/data/
* License of dataset: MIT License
* Short description of dataset and…
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![image](https://user-images.githubusercontent.com/52833578/224529053-21504918-2936-4ef2-a482-299a301d53b6.png)
I can not access download link for downloading images as you can see up image.
Could y…
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Hello. Thank you for your amazing work.
I got a problem when I try to fine tune a pretrained model on my personal dataset(Dataset020). Following the steps in documentation/pretraining_and_finetuning.…
yy042 updated
2 weeks ago
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Hello,
I am trying to understand how to compare (or merge) the datasets of kits19 and kits21. The description of the classes in the kits21 webpage (https://kits21.kits-challenge.org/) says that th…
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210 volumes with ground-truth
http://arxiv.org/abs/1904.00445
![image](https://user-images.githubusercontent.com/73802219/98999408-18127500-257b-11eb-8d47-2213dd39d0ed.png)
![image](https://u…
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As the preprocessing from `run_nnUnet_preprocessing.py` is super RAM intensive and long we need to cache saved features and allow restarts to use previously computed features.
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The overall pipeline looks the same except some minor details:
```
# Library import
from miscnn.processing.preprocessor import Preprocessor
# Create and configure the Preprocessor class
pp = Pr…
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Thank you very much for your contribution. We would appreciate to follow your work, can you provide the processed KiTS19 dataset, LiTS dataset, and the corresponding dataset partitions.
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When importing [3dunet_kits19_1x1x128x128x128.tflite](https://storage.googleapis.com/iree-model-artifacts/3dunet_kits19_1x1x128x128x128.tflite) to mlir using `import-iree-tflite`, I get the error:
…
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AssertionError: Some of the target inference cases were found: {'case_00111', 'case_00400', 'case_00185', 'case_00052', 'case_00065', 'case_00000', 'case_00084', 'case_00076', 'case_00157', 'case_0004…