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Lung diseases detection caused by smoking using support vector machine

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Title Statement Lung diseases detection caused by smoking using support vector machine
 
Added Entry - Uncontrolled Name Widodo, Sri; Citra Medika Surakarta Medical Records and Health Information Academy
Rohmah, Ratnasari Nur; Muhammadiyah Surakarta University
Handaga, Bana; Muhammadiyah Surakarta University
Arini, Liss Dyah Dewi; Citra Medika Surakarta Medical Records and Health Information Academy
Ministry of Research and Technology of the Republic of Indonesia, Director General of Higher Education, Ir Soekarno Sukoharjo Regional General Hospital, Central Java Indonesia.
 
Uncontrolled Index Term ASM; CT scan; lung disease; morphological math; SVM;
 
Summary, etc. Type of lung disease is very much manifold, but type of lung disease caused by smoking there are only 4, namely Bronchitis, Pneumonia, Emphysema and Lung Cancer. Doctors usually diagnose lung disease from CT scans using the naked eye, then interpret data one by one.This procedure is not effective. The aim of this research is improvement accuracy of lung diseases detection caused by smoking using support vector machine on computed tomography scan (CT scan) images. This study includes 4 (four) main points. First is the development of software for segmentation of lung organ automatically using Active Shape Model (ASM) method. Second is the segmentation of candidates who are considered illness by using Morphology Mathematics. The third process of lung disease detection using Support Vector Machine (SVM). Fourth is visualization of disease or lung disorder using Volume Rendering.
 
Publication, Distribution, Etc. Universitas Ahmad Dahlan
2019-06-01 00:00:00
 
Electronic Location and Access application/pdf
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9799
 
Data Source Entry TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 17, No 3: June 2019
 
Language Note en
 
Nonspecific Relationship Entry http://journal.uad.ac.id/index.php/TELKOMNIKA/article/download/9799/23879
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/download/9799/23880
 
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