README.md

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tags: [medical-imaging, brain-tumor, wavelet, interpretability]
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# LDW-CNet: Learnable Discrete Wavelet CNN for Brain MRI Classification

## Results

| Model | Accuracy | Macro F1 | Macro AUC |
|-------|----------|----------|-----------|
| PlainCNN | 56.85% | 0.5297 | 0.7927 |
| FixedDWT_CNN | 62.69% | 0.5913 | 0.8280 |
| LearnDWT_NoLwc | 57.36% | 0.5325 | 0.8016 |
| LearnDWT_SE_NoLwc | 58.38% | 0.5536 | 0.7973 |
| LDWCNet_Full | 58.12% | 0.5420 | 0.8036 |

## Architecture
Learnable DWT → SE Block → Residual CNN → Classifier

## Paper
LDW-CNet: A Learnable Discrete Wavelet Transform based Residual CNN