Article

Beyond Algorithms: The Impact of Simplified CNN Models and Multifactorial Influences on Radiological Image Analysis

2024-09-16

Abstract excerpt

This paper demonstrates that simplified Convolutional Neural Network (CNN) models can outperform traditional complex architectures, such as VGG-16, in the analysis of radiological images, particularly in datasets with fewer samples. We introduce two adopted CNN architectures, LightCnnRad and DepthNet, designed to optimize computational efficiency while maintaining high performance. These models were applied to nin...

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Literature Corpus work: 08031228-36a3-5225-af15-17df614c477e
DOI: 10.1101/2024.09.15.24313585

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