Development of Scoliotic spine severity detection using deep learning Algorithms

• Main Authors: Makhdoomi, Nahid Ameer, Gunawan, Teddy Surya, Idris, Nur Hanani, Khalifa, Othman Omran, Karupiah, Rajandra Kumar, Bramantoro, Arif, Abdul Rahman, Farah Diyana, Zakaria@Mohamad, Zamzuri
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2022
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/97237/2/Schedule%20ccwc%20%2821.01%29%20with%20Links.pdf; http://irep.iium.edu.my/97237/13/97237_Development%20of%20Scoliotic%20spine%20severity.pdf; http://irep.iium.edu.my/97237/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9720906
• Institution: Universiti Islam Antarabangsa Malaysia

According to research conducted by Johns Hopkins' Division of Pediatric Orthopedic Surgery, around three million new instances of Scoliosis are identified each year, with the majority of cases affecting children between the ages of 10 and 12. The current method of diagnosing and treating Scolio...