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@@ -8,7 +8,7 @@ tags:
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  - 3d-resnet
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  - monai
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  - oncology
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- - breast-cancer
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  - sustainable-ai
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  - explainable-ai
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  metrics:
@@ -23,7 +23,7 @@ This repository contains the "Better Model" (Phase 3) for breast cancer classifi
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  ## Key Engineering Breakthroughs (Phase 3)
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  - **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.
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  - **Dynamic Temporal Fusion:** Uses a Multi-Stream approach where the Kinetic stream processes a variable number of post-contrast phases.
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- - **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.
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  - **Explainable AI (XAI):** Full support for **3D Grad-CAM** visualization on the T2 structural stream.
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  -
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  ## Mathematical & Architectural Refinement
 
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  - 3d-resnet
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  - monai
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  - oncology
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+ - breast-cancera
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  - sustainable-ai
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  - explainable-ai
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  metrics:
 
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  ## Key Engineering Breakthroughs (Phase 3)
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  - **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.
25
  - **Dynamic Temporal Fusion:** Uses a Multi-Stream approach where the Kinetic stream processes a variable number of post-contrast phases.
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+ - **Improved Temporal Aggregation:** Selected Temporal Mean Pooling over Recurrent units (LSTM/RNN) to ensure a more robust global temporal summary and prevent overfitting on this specific dataset size.
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  - **Explainable AI (XAI):** Full support for **3D Grad-CAM** visualization on the T2 structural stream.
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  -
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  ## Mathematical & Architectural Refinement