Abstract:
:Patients in the intensive care unit require fast and efficient handling, including in-diagnosis service. The objectives of this study are to produce a computer-aided system so that it can help radiologists to classify the types of brain tumors suffered by patients quickly and accurately; to build applications that can determine the location of brain tumors from CT scan images; and to get the results of the analysis of the system design. The combination of the zoning algorithm with Learning Vector Quantization can increase the speed of computing and can classify normal and abnormal brains with an average accuracy of 85%.
journal_name
J Healthc Engjournal_title
Journal of healthcare engineeringauthors
Fahmi F,Apriyulida F,Nasution IK,Sawaluddindoi
10.1155/2020/2483285subject
Has Abstractpub_date
2020-07-14 00:00:00pages
2483285eissn
2040-2295issn
2040-2309journal_volume
2020pub_type
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