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Improving Chest X-Ray Classification Accuracy Using CLAHE-Based Image Fusion and CNN-Based Generalized Stacking Ensemble Learning

2021-12-02

Abstract excerpt

Chest X-ray analysis is a popular approach in diagnosing diseases that affects the lung. For accurate X-ray analysis, researchers have developed various machine learning classifiers, but the proposed algorithms still have significant errors. In this work, we employ various image processing and machine learning techniques to build a high accuracy COVID-19 detection algorithm. We use a novel image enhancement techni...

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Literature Corpus work: 47b6ac77-b896-5493-8e2a-2fca81c04300
DOI: 10.2139/ssrn.3975974

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