Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network

Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network

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...

Full description

Bibliographic Details
Main Authors: Mohammed, Mazin Abed, Abd Ghani, Mohd Khanapi, Arunkumar, N., Hamed, Raed Ibraheem, A. Mostafa, Salama, Abdullah, Mohamad Khir, Burhanuddin, M. A.
Format: Article
Language:English
Published: Springer 2018
Subjects:
QA76 Computer software
TA Engineering (General). Civil engineering (General)
T58.6-58.62 Management information systems
TA168 Systems engineering
Online Access:http://eprints.uthm.edu.my/5150/
http://eprints.uthm.edu.my/5150/1/AJ%202018%20%28849%29%20Decision%20support%20system%20for%20nasopharyngeal%20carcinoma%20discrimination%20from%20endoscopic%20images%20using%20artificial%20neural%20network.pdf

Internet

http://eprints.uthm.edu.my/5150/
http://eprints.uthm.edu.my/5150/1/AJ%202018%20%28849%29%20Decision%20support%20system%20for%20nasopharyngeal%20carcinoma%20discrimination%20from%20endoscopic%20images%20using%20artificial%20neural%20network.pdf

Similar Items