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README.md
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# Histopathologic Cancer Detection - EfficientNetV2S & ViT-Hybrid
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This repository contains models for detecting metastatic cancer in histopathologic images.
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- **EfficientNetV2S**: A Baseline CNN-based model for local feature extraction.
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```
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# Download EfficientNetV2S model
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model_path = hf_hub_download(repo_id="MooseML/EfficientNet-Cancer-Detection", filename="efficientnet_cancer_model.h5")
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model = load_model(model_path)
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# Download ViT-Hybrid model
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model_path_vit = hf_hub_download(repo_id="MooseML/EfficientNet-Cancer-Detection", filename="ViT_hybrid_cancer_model.h5")
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model_vit = load_model(model_path_vit)
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## Github and Kaggle Links for Full Training Pipeline
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- Full Training Code: [GitHub Repository](https://github.com/MooseML/Histopathologic-Cancer-Detection)
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---
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language: en
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license: mit
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tags:
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- deep-learning
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- cancer-detection
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- histopathology
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- tensorflow
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- efficientnet
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- vision-transformer
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- ViT
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- medical-imaging
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model_name: EfficientNetV2S & ViT-Hybrid for Histopathologic Cancer Detection
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library_name: tensorflow
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datasets:
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- histopathologic-cancer-detection
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- PatchCamelyon
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---
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# Histopathologic Cancer Detection - EfficientNetV2S & ViT-Hybrid
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This repository contains models for detecting metastatic cancer in histopathologic images.
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- **EfficientNetV2S**: A Baseline CNN-based model for local feature extraction.
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```
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# Download EfficientNetV2S model
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```sh
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model_path = hf_hub_download(repo_id="MooseML/EfficientNet-Cancer-Detection", filename="efficientnet_cancer_model.h5")
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model = load_model(model_path)
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```
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# Download ViT-Hybrid model
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```sh
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model_path_vit = hf_hub_download(repo_id="MooseML/EfficientNet-Cancer-Detection", filename="ViT_hybrid_cancer_model.h5")
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model_vit = load_model(model_path_vit)
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```
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## Github and Kaggle Links for Full Training Pipeline
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- Full Training Code: [GitHub Repository](https://github.com/MooseML/Histopathologic-Cancer-Detection)
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