Please use this identifier to cite or link to this item: http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5346
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dc.contributor.authorEdi, Victor-
dc.date.accessioned2022-09-30T09:29:55Z-
dc.date.available2022-09-30T09:29:55Z-
dc.date.issued2020-04-
dc.identifier.issn0193-4120-
dc.identifier.urihttp://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5346-
dc.descriptionTuberculosis, 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.en_US
dc.description.abstractTuberculosis 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.relation.ispartofseries;No. 7890 - 7904-
dc.subjectMycobacterium Tuberculosis, region base, skeleton, performanceen_US
dc.titlePeper Selection Of Suitable Moment Invariant Features For Mycoen_US
dc.typeOtheren_US
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