DIGITAL DETECTION SYSTEM DESIGN OF MYCOBACTERIUM TUBERCULOSIS THROUGH EXTRACTION OF SPUTUM IMAGE USING NEURAL NETWORK METHOD
Downloads
Tuberculosis (TBC) is an dangerous disease and many people has been infected. One of many important steps to control TBC effectively and efficiently is by increasing case finding using right method and accurate diagnostic. One of them is to detect Mycobacterium Tuberculosis inside sputum. Conventional detection of Mycobacterium Tuberculosis inside sputum can need a lot of time, so digitally
detection method of Mycobacterium Tuberculosis was designed as an effort to get better result of detection. This method was designed by using combination between digital image processing method and Neural Network method. From testing report that was done, Mycobacterium can be detected with successful value reach 77.5% and training error less than 5%.
Both authors and the Indonesian Journal of Tropical and Infectious Disease (IJTID) agree with the following attribution of the journal
- Authors transfer the Copyright and grant IJTID the right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows IJTID to share and adapt the articles by giving appropriate credit and distributing them to the readers for free under the same license
- Authors are permitted to copy and redistribute the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with an acknowledgment of its initial publication in IJTID.
IJTID requires Copyright Transfer Agreement from the author(s) for each article published. We, therefore, ask you to complete and return this form, retaining a copy for your records. Your cooperation is essential and appreciated.
