From Pixels to Pathology: The Power of CNNs in Detecting Tuberculosis

P, Pavan Kumar and Nipu, MD Mehedi Hasan and Krishna, Garigipati Rama (2024) From Pixels to Pathology: The Power of CNNs in Detecting Tuberculosis. EAI Endorsed Transactions on Pervasive Health and Technology.

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Abstract

INTRODUCTION: Tuberculosis (TB) remains a significant global health threat, demanding trustworthy and effective detection techniques. This study investigates the utilization of deep learning models, specifically ResNet50, InceptionV3, AlexNet, DenseNet121, and Inception3, for diagnosing tuberculosis

Item Type: Article
Date Deposited: 04 Mar 2026 18:09
Last Modified: 11 Apr 2026 00:39
URI: http://eprints.eai.eu/id/eprint/51378

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