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---
license: apache-2.0
---
# DiffTumor
The Singularity container is designed for the prediction of abdominal tumors, specifically targeting the liver, pancreas, and kidneys. It utilizes a segmentation model sourced from [DiffTumor](https://github.com/MrGiovanni/DiffTumor).
# Instructions
### 1-Download
Download the singularity container.
```
wget https://huggingface.co/qicq1c/DiffTumor/resolve/main/difftumor_final.sif
```
### 2-Data preparation
This is how `inputs_data` organizes
```
$inputs_data/
├── case00001.nii.gz
├── case00002.nii.gz
├── case00003.nii.gz
├── ...
```
### 3-Inference
You can directly perform inference on your own data. Simply modify `inputs_data` into your data path and adjust `outputs_data` to specify the desired output location for the segmentation results.
```
SINGULARITYENV_CUDA_VISIBLE_DEVICES=0 singularity run --nv -B $inputs_data:/workspace/inputs -B $outputs_data:/workspace/outputs difftumor_final.sif
```
This is how `outputs_data` organizes
```
$outputs_data/
├── case00001
├── case00002
├── case00003
│── ct.nii.gz
└── predictions
├── liver.nii.gz
├── pancreas.nii.gz
├── kidney.nii.gz
├── liver_tumor.nii.gz
├── pancreas_tumor.nii.gz
├── kidney_tumor.nii.gz
│
...
```
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