Tuberculosis detection using deep learning and contrastenhanced canny edge detected X-Ray images

• المؤلفون الرئيسيون: Kieu, Stefanus Tao Hwa, Abdullah Bade, Mohd Hanafi Ahmad Hijazi, Mohammad Saffree Jeffree
• التنسيق: مقال
• اللغة: English; English
• منشور في: 2020
• الموضوعات: Q Science (General); T Technology (General)
• الوصول للمادة أونلاين: https://eprints.ums.edu.my/id/eprint/26737/1/Tuberculosis%20detection%20using%20deep%20learning%20and%20contrastenhanced%20canny%20edge%20detected%20X-Ray%20images1.pdf; https://eprints.ums.edu.my/id/eprint/26737/2/Tuberculosis%20detection%20using%20deep%20learning%20and%20contrastenhanced%20canny%20edge%20detected%20X-Ray%20images.pdf; https://eprints.ums.edu.my/id/eprint/26737/; http://doi.org/10.11591/ijai.v9.i4.pp713-720

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...