README.md

metadata

title: BoneAgePrediction
emoji: 🦀
colorFrom: red
colorTo: red
sdk: gradio
sdk_version: 5.34.0
app_file: app.py
pinned: false
license: mit
short_description: 🩺 Bone Age Prediction Gradio App

🩺 Bone Age Prediction Gradio App

This Hugging Face Space provides an interactive demo for bone age estimation from hand X-ray images, based on the bone-age-resnet-80m deep learning model (ResNet152, finetuned on the RSNA Pediatric Bone Age dataset).

🚀 What does this app do?

• Upload a hand X-ray (PNG/JPG).
• Select the patient's gender (Male/Female).
• Get an instant prediction of bone age in months (and years/months format) using a state-of-the-art neural network.

🧠 Model Details

• Architecture: ResNet152 + custom head (≈80M parameters)
• Input: 256x256 hand X-ray image & gender
• Output: Bone age (months)
• Training Data: RSNA Bone Age Challenge
• Model Card: bone-age-resnet-80m

🌟 How to use

1. Upload a clear hand X-ray image (preferably as PNG).
2. Select the appropriate gender.
3. Press "Submit" to get the predicted bone age.

Note: This app is for educational and research purposes only. Not for clinical use.

🏷️ Citation

If you use this demo or model, please cite the RSNA Bone Age dataset and this Hugging Face Space/model.

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Built with ❤️ using Gradio and Hugging Face Spaces.