Update README.md

README.md

@@ -20,14 +20,14 @@ pipeline_tag: image-classification
 
 This repository contains the "Better Model" (Phase 3) for breast cancer classification on multi-parametric MRI. This version represents the most stable and optimized iteration, featuring a hybrid architecture designed to handle high-resolution 3D sequences with extreme memory efficiency.
 
-## 🛠 Key Engineering Breakthroughs (Phase 3)
+## Key Engineering Breakthroughs (Phase 3)
 - **Instance Normalization Integration:** Replaced Batch Normalization with **InstanceNorm 3D**. This critical fix allows the model to maintain stable gradients even with a Batch Size of 1, preventing the collapse observed in earlier versions.
 - **Dynamic Temporal Fusion:** Uses a Multi-Stream approach where the Kinetic stream processes a variable number of post-contrast phases.
-- **Improved Temporal Aggregation:** Transitioned to **Temporal Mean Pooling** for feature fusion, providing a more robust "global temporal summary" compared to complex recurrent layers (LSTM/RNN) on this specific dataset volume.
+- **Improved Temporal Aggregation:** Transitioned to **Temporal Mean Pooling** for feature fusion, providing a more robust global temporal summary compared to complex recurrent layers (LSTM/RNN) on this specific dataset volume.
 - **Explainable AI (XAI):** Full support for **3D Grad-CAM** visualization on the T2 structural stream.
 
 ## Model Description
-- **Developed by:** [Your Name/Pseudo]
+- **Developed by:** THOUAN Simon
 - **Architecture:** Multi-Stream 3D ResNet-18 (Custom InstanceNorm version).
 - **Task:** 3 Multi-class classification (Normal, Benign, Malignant).
 - **Input Modalities:** 1. **T2 Stream:** Structural 3D MRI volume.