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license: apache-2.0 |
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tags: |
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- vision |
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- image-classification |
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# Surgicare |
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> Surgicare (Surgical + Care) |
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<img src="https://i.imgur.com/nOi95Cj.png" width="250"> |
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SurgiCare is an AI system designed to support post-surgery patient recovery. In this repository, we focus on a wound classification model trained on an open-source dataset. Our objective is to improve the accuracy of wound detection and guide patients in managing their wound recovery efficiently. |
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- **Online Demo**: [https://surgicare-demo.streamlit.app/](https://surgicare-demo.streamlit.app/) |
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- Wound dataset: [https://www.kaggle.com/datasets/ibrahimfateen/wound-classification](https://www.kaggle.com/datasets/ibrahimfateen/wound-classification)) |
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- Github Repo: [https://github.com/PogusTheWhisper/SurgiCare.git](https://github.com/PogusTheWhisper/SurgiCare.git) |
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- Pretrained Models: |
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* Surgicare-V1-best: [https://huggingface.co./PogusTheWhisper/SurgiCare/resolve/main/SurgiCare-V1-best.keras](https://huggingface.co./PogusTheWhisper/SurgiCare/resolve/main/SurgiCare-V1-best.keras) |
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* Surgicare-V1-fast: [https://huggingface.co./PogusTheWhisper/SurgiCare/resolve/main/SurgiCare-V1-fast-best.keras](https://huggingface.co./PogusTheWhisper/SurgiCare/resolve/main/SurgiCare-V1-fast-best.keras) |
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* Surgicare-V1-mini: [https://huggingface.co./PogusTheWhisper/SurgiCare/resolve/main/SurgiCare-V1-mini-best-model.keras](https://huggingface.co./PogusTheWhisper/SurgiCare/resolve/main/SurgiCare-V1-mini-best-model.keras) |
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## Result of training!! |
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### Efficientnet B3 |
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* Accuracy: 0.9062 Approximately 11 seconds per image. |
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* I used EfficientNet-B3 to train for 25 epochs, monitoring the validation loss. |
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### MobileNetV3Large |
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* Accuracy: 0.7969 Approximately 5 seconds per image. |
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* I used MobileNetV3Large to train for 50 epochs, monitoring the validation loss. |
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### MobileNetV3Small |
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* Accuracy: 0.7812 Approximately 4 seconds per image. |
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* I used MobileNetV3Small to train for 50 epochs, monitoring the validation loss. |
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