Ashpinpabi, D. J. and Nidhya, R. and Renuka, D. and Salva, S. and SaiSushma, K. and Rajesh, A. (2025) Enhancing Tuberculosis Detection with Deep Learning: A CNN-Based Approach with Data Augmentation and Regularization. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
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Abstract
Tuberculosis (TB) remains a major global health concern, requiring early and accurate diagnosis for effective treatment. Traditional radiological assessments face challenges in distinguishing TB from other pulmonary diseases. Recent studies, such as the Multiscale Eigendomain Gradient Boosting (MEGB
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:17 |
| Last Modified: | 16 Apr 2026 15:58 |
| URI: | http://eprints.eai.eu/id/eprint/60071 |
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