| DC Field | Value | Language |
|---|
| dc.contributor.author | edy, victor haryanto | - |
| dc.date.accessioned | 2020-06-17T08:08:14Z | - |
| dc.date.available | 2020-06-17T08:08:14Z | - |
| dc.date.issued | 2020-02-15 | - |
| dc.identifier.issn | 0193-4120 | - |
| dc.identifier.uri | http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/3412 | - |
| dc.description | Tuberculosis, also known as TB, is an infectious
disease caused by the bacteria called
Mycobacterium tuberculosis. The bacteria typically
attack the lungs and referred as pulmonary TB
(PTB) disease. However, it can also affect other
parts of the human body such as lymph nodes,
skeletal system, central nervous system, liver and
pancreas, resulting in the extra-pulmonary TB
(EPTB) disease.
TB is a curable disease. The disease can be cured in
most people with appropriate antibiotic treatment.
Unfortunately, the disease remains the second
leading cause of death from an infectious disease
worldwide after HIV / AIDS [1] [2]. The World
Health Organization (WHO) declared TB disease as
a global public health problem in 1993, as nearly 7 –
8 million cases and 1.3 – 1.6 million deaths from TB
were recorded every year. In 2010, there were an
estimated 8.5 – 9.2 million cases of TB and 1.2 – 1.5
million deaths worldwide [2]. In Malaysia, TB
incidence showed increasing trend to 19,337 cases
(67/100,000 population) in 2010, compared to the
previous year [3].
Early diagnosis of TB disease is important to ensure
prompt treatment and control the spread of the
disease. Currently, the diagnosis of TB disease is
based on finding the presence of Mycobacterium
tuberculosis in a clinical specimen of sputum or
organ with suspected TB. A number of methods for
TB diagnosis have been developed such as chest x-
ray, culture and molecular diagnosis, but the most
commonly used method is through visual
identification of the bacilli using a microscope [4]
[5].
The difficulties in EPTB diagnosis through visual
assessment of tissue sections and the rise of EPTB
incidence rate has driven this research to focus on
developing a computer-aided diagnosis for this
disease. The main objective of this research is to
automate the detection of TB bacilli in tissue
sections using image processing techniques and
neural network. The automated detection system is
based on light-microscope images, as it is the most
common method for clinical diagnosis of EPTB
disease. | en_US |
| dc.description.abstract | Tuberculosis is a contagious disease between humans and a disease that causes death, this
disease is infected by bacteria called Mycobacterium, in this paper comparing the
performance of moment invariant features through region base and skeleton, the method
used in this study is Hu, Zernike and Affine, and the results obtained, the best Zernike
moment invariant in detection Mycobacterium Tuberculosis with above 80%. | en_US |
| dc.publisher | The Mattingley Publishing Co., Inc. | en_US |
| dc.relation.ispartofseries | th5;7890 - 7904 | - |
| dc.subject | Mycobacterium Tuberculosis, region base | en_US |
| dc.subject | skeleton, performance 0 | en_US |
| dc.title | Selection of Suitable Moment Invariant Features For Mycobacterium Tuberculosis Detection in Ziehl Neelsen Stained Tissue Images | en_US |
| dc.type | Article | en_US |
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