Normal and Acute Tympanic Membrane Diagnosis based on Gray Level Co-Occurrence Matrix and Artificial Neural Networks

dc.contributor.author	Basaran, Erdal
dc.contributor.author	Sengur, Abdulkadir
dc.contributor.author	Comert, Zafer
dc.contributor.author	Budak, Umit
dc.contributor.author	Celik, Yuksel
dc.contributor.author	Velappan, Subha
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2019
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10135
dc.description.abstract	Otitis Media (OM) is the general name of middle ear inflammation. In order to diagnose this disease, it is important to examine the middle ear tympanic membrane (TM) by a standard otoscopy device. In recent years, biomedical image processing and machine l
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	International Conference on Artificial Intelligence and Data Processing (IDAP)
dc.source	2019 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap 2019)
dc.title	Normal and Acute Tympanic Membrane Diagnosis based on Gray Level Co-Occurrence Matrix and Artificial Neural Networks
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000591781100100

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