CarolineGakii/Low-Cost-Digital-Telepathology-for-Cancer-Diagnosis-Using-AI

AI-powered digital telepathology workflow using OpenFlexure Microscopy, cloud integration, and ResNet50V2 for affordable cancer diagnosis in rural Kenya. # Low-Cost Digital Telepathology Workflow for Cancer Diagnosis Using AI This project presents a practical, low-cost digital telepathology system developed and deployed in rural Kenya to support cancer diagnosis through AI-assisted histology slide analysis. The system integrates 3D-printed OpenFlexure Microscopes, cloud-based image sharing (MyPathomation™), and a fine-tuned deep learning model (ResNet50V2) for image classification. ## 🎯 Objectives - Develop a low-cost digital workflow for cancer diagnosis using open-source tools. - Capture and digitize histology slides using OpenFlexure Microscopes. - Enable remote diagnosis through cloud-based slide sharing (MyPathomation™). - Train and evaluate AI models to classify histological images as benign or malignant. - Validate AI predictions against expert pathologists and assess real-world feasibility. ## 🧠 Model - **Architecture:** ResNet50V2 (transfer learning) - **Dataset:** BreakHis (5,429 malignant and 2,480 benign breast cancer images) - **Training:** 8 epochs with fine-tuning - **Evaluation Metrics:** - Accuracy: 94% - Sensitivity: 90% - Specificity: 97% - ROC-AUC: 0.99 - Pathologist agreement: 60% ## 🛠 Workflow Overview 1. **Microscope Fabrication** - 3D-printed OpenFlexure Microscopes using PLA and Raspberry Pi components. 2. **Slide Digitization** - Histological slides scanned and stitched into high-resolution images. 3. **Cloud Upload & Review** - Digitized slides uploaded to MyPathomation™ for remote review by trained pathologists. 4. **AI Model Training & Testing** - ResNet50V2 trained on BreakHis dataset and evaluated using ROC-AUC, sensitivity, and specificity. 5. **Clinical Deployment** - Deployed in a rural clinic in Kenya with real-time pathologist training and use. ## 📍 Key Features - Low-cost, open-source telepathology platform - Combines hardware, cloud services, and AI into a deployable pipeline - High performance metrics despite hardware and bandwidth constraints - Adaptable to other d …