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Optimizing Pneumonia Identification in Chest X-rays: ResNet-18 and the Role of Diverse Activation Functions

2025-06-05

Abstract excerpt

<title>Abstract</title> <p>Identifying pneumonia from chest X-ray images is essential for clinical diagnosis and the development of treatment plans. Deep learning methods have shown potential in automating this procedure, but obstacles remain to be overcome to improve precision and resilience. This paper presents a unique methodology that combines the Rectified Tangent Activation (RTA) Activation function utilizi...

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Literature Corpus work
2b31460a-ddf2-58d4-bc36-f975f1543026
DOI
10.21203/rs.3.rs-6614333/v1
Open publication

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Optimizing Pneumonia Identification in Chest X-rays: ResNet-18 and the Role of Diverse Activation FunctionsDOI 10.21203/rs.3.rs-6614333/v1
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