JU-TBv1

Published: 8 October 2026| Version 3 | DOI: 10.17632/g46k8s49hj.3
Contributors:
Debgandhar Ghosh,

Description

JU-TB is a large-scale, single-modality chest X-ray (CXR) dataset curated for binary tuberculosis (TB) detection, designed to support robust benchmarking of deep learning models. The dataset contains 55,336 high-quality CXR images categorized into TB-positive and Normal classes, making it one of the largest publicly available TB CXR datasets.

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Institutions

Categories

Computer Vision, Tuberculosis

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