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Brain Tumor Diagnosis Support System: A Decision Fusion Framework
2020
IRA-International Journal of Applied Sciences (ISSN 2455-4499)
The early and accurate detection of brain tumors is important in providing effective and efficient therapy and thus can result in increased survival rates. Current image-based tumor detection and diagnosis methods depend heavily on the interpretation of the neuro specialists and/or radiologists. Therefore, it is quite possible for the interpretation process to be time-consuming, and prone to human error and subjectivity. Automatic detection and classification of brain tumors have the potential
doi:10.21013/jas.v15.n3.p1
fatcat:dgpjuaezjrabzmxqvcg3z3mzsa