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Decision-Level Fusion Scheme For Nasopharyngeal Carcinoma Identification Using Machine Learning Techniques

Making an accurate diagnosis of nasopharyngeal carcinoma (NPC) disease is a challenging task that involves many parties such as radiology specialists often times need to delineate NPC boundaries on various tumor-bearing endoscopic images. It is a tedious and time-consuming operation exceedingly base...

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Bibliographic Details
Main Authors: Mohammed, Mazin Abed, Mohd Khanapi, Abd Ghani, M.A., Burhanuddin, Arunkumar, N., Mostafa, Salama A., Ibrahim, Dheyaa Ahmed, Abdullah, Mohamad Khir, Jaber, Mustafa Musa, Abdulhay, Enas, Ramirez-Gonzalez, Gustavo
Format: Article
Language:English
Published: Springer 2020
Online Access:http://eprints.utem.edu.my/id/eprint/25020/2/DECISION-LEVEL%20FUSION%20NPC%20PAPER.PDF
http://eprints.utem.edu.my/id/eprint/25020/
https://link.springer.com/article/10.1007/s00521-018-3882-6
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http://eprints.utem.edu.my/id/eprint/25020/2/DECISION-LEVEL%20FUSION%20NPC%20PAPER.PDF
http://eprints.utem.edu.my/id/eprint/25020/
https://link.springer.com/article/10.1007/s00521-018-3882-6

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