How to Cite: Vajravelu, A., Tamilselvan, K. S., Mahadi, M., Zaki, W. S. B. W., Suresh, K. S., & Iyer, G. G. (2022). Development of 3-stage hybrid computer aided design (3-HCAD) system for multi-modal medical images to identify brain tumor. International Journal of Health Sciences, 6(S6), 7576–7590. https://doi.org/10.53730/ijhs.v6nS6.11392 International Journal of Health Sciences ISSN 2550-6978 E-ISSN 2550-696X © 2022. Manuscript submitted: 9 April 2022, Manuscript revised: 27 June 2022, Accepted for publication: 18 July 2022 7576 Development of 3-stage hybrid computer aided design (3-HCAD) system for multi-modal medical images to identify brain tumor Ashok Vajravelu Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia K. S. Tamilselvan Department of ECE, KPR Institute of Engineering and Technology, Anna University, Coimbatore, India *Corresponding author email: kstamilselvan@gmail.com Orchid id: 0000-0001-8364-0596 Dr. Muhammad Mahadi Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia Dr. Wan Suhaimizan Bin Wan Zaki Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia K. S. Suresh Head (Technology Extension Division), Centre for Development of Imaging Technology (C-DIT), Thiruvananthapuram, India Gowtham G. Iyer PhD Scholar (GE210002), Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia Abstract---The latest developments in medical imaging and computer- aided solutions for image processing problems attract attention of various researchers to impart their research in the medical imaging field. Designing and developing efficient algorithms to present the medical information effectively have become critical areas of research in this field. A 3-Stage Hybrid Computer Aided Design system is introduced to identify Brain tumor in earlier stages by extracting meaningful information from multimodal medical images. The preferred multi-modality images is Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). The CAD system proposed in this