AN INTELLIGENT CAD SYSTEM FOR AUTOMATED DETECTION OF PULMONARY TUBERCULOSIS ON CHEST RADIOGRAPH AND CT THORAX: A ROAD MAP

被引:0
|
作者
Elamy, Abdel-Halim Hafez [1 ,2 ]
Mandal, Mrinal [3 ]
Far, Behrouz [4 ]
Basu, Anup [5 ]
Cheng, Irene [5 ]
Long, Richard [1 ]
机构
[1] Univ Alberta, Sch Publ Hlth, Dept Publ Hlth Sci, Edmonton, AB T6G 2M7, Canada
[2] Univ Alberta, Fac Med Dent, Dept Med, Edmonton, AB T6G 2M7, Canada
[3] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2M7, Canada
[4] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
[5] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2M7, Canada
来源
2010 23RD CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2010年
关键词
Tuberculosis; radiology; feature detection; image analysis; computer-aided detection (CAD); NEURAL-NETWORKS; NODULES;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Tuberculosis (TB) is a common and deadly infectious disease that can occur at any age. It mostly affects the lungs, but can also affect other organs, including the central nervous system. TB is a leading cause of morbidity and mortality in adults worldwide, killing more than 1.5 million people every year. TB is often ignored by health care professionals at emergency departments in Canada. This is due to the fact that TB is a rare disease in Canadian-born non-Aboriginals. However, it remains prevalent in some groups, including immigrants from TB endemic countries. The basic key to control the spread of TB is the early detection and treatment. This paper exhibits several innovative works to automate the detection of TB and introduces an integrated auto-monitoring computer-aided detection (CAD) system. This system will be capable of detecting TB from plain chest radiographs and computed tomography (CT) thorax and triggers warning control devices to announce for prevalent active TB. The proposed system would be of great value in protecting Canadians and others from unwanted contagion.
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页数:4
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