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A Deep Learning Framework for Multi-Class Lung Disease Detection Using CXR Imaging

2026-09-01

Abstract excerpt

<title>Abstract</title> <p>Early and accurate detection of lung diseases from chest X-ray (CXR) images is critical for effective and timely clinical decision-making. However, overlapping visual patterns among multiple lung diseases, together with dataset bias, limit the reliability of existing automated diagnostic systems. This study develops and evaluates a bias-aware deep learning (DL) framework for reliable mu...

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Literature Corpus work
86f50c1a-6587-5da6-8245-28e346ddf814
DOI
10.21203/rs.3.rs-10412626/v1
Open publication

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A Deep Learning Framework for Multi-Class Lung Disease Detection Using CXR ImagingDOI 10.21203/rs.3.rs-10412626/v1
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