RMS-Cancer Diagnostic Application
An AI-powered desktop application for comprehensive disease diagnosis using deep learning and machine learning models.
RMS-Cancer Features
Advanced AI-driven desktop application for comprehensive medical diagnosis using deep learning and machine learning models.
- 🧠 Brain Tumor Detection: Utilizes MONAI deep learning framework for accurate brain tumor detection and classification
- 🫁 Lung Cancer Prediction: Employs deep learning techniques to analyze lung CT scans and predict cancer likelihood
- 🦷 Kidney Disease Diagnosis: Detects kidney tumors and stones using specialized deep learning models
- 🎀 Breast Cancer Detection: Multiple modality support including mammography and ultrasonography analysis
- 🤖 AI-Powered Analysis: Combines deep learning (MONAI/PyTorch) and traditional machine learning (scikit-learn)
- 💻 Cross-Platform Compatibility: Built with Kivy framework for Windows, macOS, and Linux support
- 📊 High Accuracy Diagnostics: Utilizes carefully trained models on extensive medical datasets
- 👨💻 User-Friendly Interface: Intuitive design for healthcare professionals
- 🖼️ Medical Imaging Support: Handles DICOM and other medical image formats
- 📈 Performance Metrics: Detailed reporting with accuracy, precision, and recall metrics
- 🔒 Data Security: Local processing ensures patient data privacy
- 🔄 Multi-Modal Analysis: Supports different imaging techniques for comprehensive diagnosis
- 📋 Results Export: Generate diagnostic reports for medical records
- ⚡ Real-time Processing: Quick analysis and results delivery
CUSTOM configurations available for specific medical institutions
Project information
- Category: Healthcare AI / Desktop Application
- Technologies:
Python Kivy MONAI PyTorch scikit-learn Deep Learning Medical Imaging
- Project Date: April 2025
- Project URL: https://github.com/kooshayeganeh/rms-cancer
AI-Powered Medical Diagnostics
RMS-Cancer is an advanced, AI-driven desktop application designed to assist healthcare professionals in diagnosing multiple diseases through state-of-the-art deep learning and machine learning models. The application provides a unified platform for comprehensive medical image analysis and disease prediction.
Built on the robust MONAI framework for medical AI and featuring a cross-platform Kivy interface, RMS-Cancer brings cutting-edge diagnostic capabilities to medical professionals worldwide. The system combines the precision of deep learning with the interpretability of traditional machine learning for reliable medical diagnostics.
Application Interface
