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# 📥 APIS Dataset - Download Instructions

**This directory is ready for your APIS dataset files.**

---

## ✅ Expected Directory Structure

Place your downloaded APIS dataset files in this structure:

```

raw/

├── ct/                    # ← CT volumes go here

│   ├── case_001/

│   │   └── ct.nii.gz

│   ├── case_002/

│   │   └── ct.nii.gz

│   └── ... (60 cases)


├── adc/                   # ← ADC/MRI volumes go here

│   ├── case_001/

│   │   └── adc.nii.gz

│   ├── case_002/

│   │   └── adc.nii.gz

│   └── ... (60 cases)


└── lesion_masks/          # ← Lesion annotations go here

    ├── case_001.nii.gz

    ├── case_002.nii.gz

    └── ... (60 files)

```

---

## 📋 Download Steps

1. **Register**: Go to https://bivl2ab.uis.edu.co/challenges/apis
2. **Accept**: Accept the Data Usage Agreement
3. **Download**: Download CT, ADC/MRI, and lesion mask archives
4. **Extract**: Extract files into the directories above (ct/, adc/, lesion_masks/)



---



## 🔍 Verify Download



After extracting files, verify the structure:



```powershell

wsl bash -c "cd /mnt/c/Users/User/Documents/ClinFuseDiff && bash workflow/02_verify_setup.sh"

```



This will check:

- ✅ Number of CT volumes found

- ✅ Number of ADC/MRI volumes found

- ✅ Number of lesion masks found

- ✅ File naming consistency



---



## 🚀 Next Step



Once verification passes, run the complete workflow:



```powershell

wsl bash -c "cd /mnt/c/Users/User/Documents/ClinFuseDiff && source ~/miniconda3/etc/profile.d/conda.sh && conda activate clinfusediff && bash workflow/complete_workflow_with_logging.sh apis run_$(date +%Y%m%d_%H%M%S)"
```



This will automatically:

1. Preprocess all cases (ANTs registration + TotalSegmentator masks)

2. Create train/val/test splits

3. Train the model

4. Evaluate with comprehensive metrics

5. Save all outputs (logs, visualizations, checkpoints, results)



---



**Ready to download? Visit the APIS challenge portal! 🚀**