| tags: [medical-imaging, brain-tumor, wavelet, interpretability] | |
| # 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 | |