Tuberculosis Detection using Gray Level Co-Occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN) Algorithms
Research has been conducted on detecting tuberculosis (TB) using machine learning. In this study, chest Xray (CXR) image data was used with a pixel value of 512 x 512 and PNG format consisting of normal lung images and TBinfected lung images in a 50:50 ratio; the number of images was 200 training da...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Syiah Kuala University
2023-11-01
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| Series: | Aceh International Journal of Science and Technology |
| Subjects: | |
| Online Access: | https://jurnal.usk.ac.id/AIJST/article/view/33241 |
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