README.md

metadata

title: TUMORCLASS
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.9.0
app_file: app.py
python_version: 3.11
pinned: false

Tumor Progression Classifier

This application classifies microscopic tumor images from the VNC of fruitflies using a deep learning model trained with FastAI and ResNet50.

The model analyzes uploaded images and predicts the tumor progression level od category.

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How to Use

1. Upload one or more microscopic tumor images.
2. Click Submit.
3. The model will display:
   • Predicted level or class
4. Download results as:
   • CSV file
   • ZIP archive with annotated images

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Example Images

You can test with images similar to those below:

![Example]

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Model Details

• Architecture: ResNet50
• Framework: FastAI
• Backend: PyTorch
• Image Size: 224x224

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Features

✔ Drag-and-drop image upload
✔ Multiple image prediction
✔ Probability visualization
✔ CSV export
✔ ZIP download with annotated images

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Author

Created by YIN-OCEAN LAB TONGJI UNIVERSITY SHANGHAI