Learning from the Scratch for Tuberculosis (TB) Bacilli Detection Using DSOD

DOI

10.2991/aer.k.211106.033How to use a DOI?

Keywords

Tuberculosis; object detection; Convolutional Neural Network

Abstract

Tuberculosis (TB) is an infectious disease caused by the micro-bacteria Tuberculosis which can be transmitted through sputum sprinkling. Tuberculosis is a direct infectious disease caused by tuberculosis bacilli. Most tuberculosis bacilli attack the lungs but It could also be other organs of the body. Several studies that have been conducted previously aimed to reduce the burden of observing Tuberculosis bacilli using the processing method digital image. As technology continues to develop, the methods used to process digital images are also increasing. In this study, researchers used Deep Learning in digital image processing. This method aims to make the system or machine able to recognize tuberculosis bacilli with various kinds of data that have been shown. Deep Learning Method trains the machine to recognize Tuberculosis bacilli through learning various images of bacilli under varying conditions so that the machine can recognize the tray under various conditions slides. We believe that a fast and reliable diagnostic aid system with accurate information to help medical workers in the field is necessary.

Copyright

© 2021 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Winarno
AU  - Fashalli Giovi Bilhaq
AU  - Ali Suryaperdana Agoes
PY  - 2021
DA  - 2021/11/23
TI  - Learning from the Scratch for Tuberculosis (TB) Bacilli Detection Using DSOD
BT  - Proceedings of the 2nd International Seminar of Science and Applied Technology (ISSAT 2021)
PB  - Atlantis Press
SP  - 216
EP  - 219
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211106.033
DO  - 10.2991/aer.k.211106.033
ID  - 2021
ER  -