Update 2d_classification/mednist_tutorial.ipynb

Co-authored-by: Eric Kerfoot <[email protected]>
Signed-off-by: Mingxin Zheng <[email protected]>

Author: mingxin-zheng

2d_classification/mednist_tutorial.ipynb

@@ -25,7 +25,7 @@
     "\n",
     "1. **Dataset Preparation**: Create training, validation, and test datasets\n",
     "2. **Data Preprocessing**: Apply medical image transforms and augmentations\n",
-    "3. **Model Architecture**: Implement DenseNet121 for medical image classification\n",
+    "3. **Model Architecture**: Use DenseNet121 for medical image classification\n",
     "4. **Training Workflow**: Train with PyTorch using MONAI optimizations\n",
     "5. **Model Evaluation**: Comprehensive performance assessment and visualization\n",
     "6. **Advanced Features**: Occlusion sensitivity analysis for model interpretability\n",