AI-Powered Medical Imaging
Research Platform
PhyDCM delivers open-source tools for DICOM-based medical image diagnosis using hybrid CNN-Transformer architectures. Built for Windows, designed for research.
⭐ Featured Projects
Hand-picked highlights from the PhyDCM ecosystem.
PhyDCM App
Windows desktop application for medical image diagnosis and AI prediction. Research-grade build with multi-planar reconstruction and inference pipeline.
PhyDCM Core Library
Python library for DICOM medical imaging workflows and AI inference. Supports MRI, CT, and PET modalities with a hybrid CNN-Transformer model (MedViT).
Research Docs / Thesis
Academic documentation, experimental results, and materials from the PhyDCM graduate research program at the University of Al-Qadisiyah.
👥 Research Team
Student research group working on PhyDCM at University of Al-Qadisiyah, College of Science, Department of Medical Physics.
🧩 All Repositories
Fetched live from the GitHub API. Everything public under the PhyDCM organization.