Tuberculosis detection using deep learning and contrast-enhanced canny edge detected X-Ray images
Tuberculosis (TB) is a disease that causes death if not treated early. Ensemble deep learning can aid early TB detection. Previous work trained the ensemble classifiers on images with similar features only. An ensemble requires a diversity of errors to perform well, which is achieved using either di...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2020
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/30356/2/Tuberculosis%20detection%20using%20deep%20learning%20and%20contrast-enhanced%20canny%20edge%20detected%20X-Ray%20images%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/30356/5/Tuberculosis%20detection%20using%20deep%20learning%20and%20contrast-enhanced%20canny%20edge%20detected%20X-Ray%20images%20FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/30356/ https://www.researchgate.net/publication/348268058_Tuberculosis_detection_using_deep_learning_and_contrastenhanced_canny_edge_detected_X-Ray_images https://doi.org/10.11591/ijai.v9.i4.pp713-720 |
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