Automatic Detection of Brain Tumor on Computed Tomography Images for Patients in the Intensive Care Unit.

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 Eng

authors

Fahmi F,Apriyulida F,Nasution IK,Sawaluddin

doi

10.1155/2020/2483285

subject

Has Abstract

pub_date

2020-07-14 00:00:00

pages

2483285

eissn

2040-2295

issn

2040-2309

journal_volume

2020

pub_type

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