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

被引：2
|
作者：
Fahmi, Fahmi [1 ]
Apriyulida, Fitri [1 ]
Nasution, Irina Kemala [2 ]
Sawaluddin [3 ]
机构：
[1] Univ Sumatera Utara, Dept Elect Engn, Fac Engn, Medan, Indonesia
[2] Univ Sumatera Utara, Fac Med, Dept Neurol, Medan, Indonesia
[3] Univ Sumatera Utara, Fac Comp Sci & Informat Technol, Medan, Indonesia
来源：
JOURNAL OF HEALTHCARE ENGINEERING | 2020年 / 2020卷
关键词：
Diagnosis - Medical computing - Computer aided analysis - Tumors - Brain - Computerized tomography;
D O I：
10.1155/2020/2483285
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
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%.
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页数：13
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