Decision Support System For Nasopharyngeal Carcinoma Discrimination From Endoscopic Images Using Artificial Neural Network

• Main Authors: Mohammed, Mazin Abed, Mohd Aboobaider, Burhanuddin, Mohd Khanapi, Abd Ghani, Arunkumar, N., Hamed, Raed Ibraheem, Mostafa, Salama A., Abdullah, Mohamad Khir
• Format: Article
• Language: English
• Published: Springer 2018
• Online Access: http://eprints.utem.edu.my/id/eprint/24966/2/MAZINBURHANDECISION%20SUPPORT%20SYSTEM%20FOR%20NPC%20FINAL.PDF; http://eprints.utem.edu.my/id/eprint/24966/; https://link.springer.com/article/10.1007/s11227-018-2587-z

The segregation among benign and malignant nasopharyngeal carcinoma (NPC) from endoscopic images is one of the most challenging issues in cancer diagnosis because of the many conceivable shapes, regions, and image intensities, hence, a proper scientific technique is required to extract the features...