Knee Osteoarthritis Detection using Deep Learning | Best IEEE Based Machine learning Project 2025-26
for Full Code and Implementation Contact us : 8088605682 (call or whatsapp)
Explore our AI-powered Knee Osteoarthritis Detection System built using advanced deep learning models and a unique hybrid methodology inspired by three IEEE research papers!
📌 Project Highlights:
📚 Referred to 3 IEEE papers for scientific methodology
🔄 Applied data augmentation to balance CT scan dataset
⚙️ Preprocessing Pipeline: Grayscale, CLAHE, Gaussian filter, and Canny edge detection
🧠 Built models using EfficientNet, ResNet50, DenseNet121, and a custom hybrid CNN
🩻 Classified into 5 stages of Knee Osteoarthritis:
0 – Normal
1 – Doubtful
2 – Mild
3 – Moderate
4 – Severe
🌐 Developed a Flask web application for real-time image upload and prediction
📽️ Fully demonstrated in this YouTube video demo
🎁 What You’ll Get:
✅ Complete source code
✅ Documentation for report & PPT
✅ Explanation classes (online or offline)
✅ 1-on-1 mentorship and future project support
📥 For full code, report, and project support, reach out to us in the comments or contact info below.
🚀 By: BMM Training and Research Institute
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