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January 1, 2026International Journal of Intelligent Information and Database SystemsOpen Access

An effective framework to perform lung nodule segmentation using U-net network

Kha Tu Huynh Huu Sy Le Tân Le Duy An Mai

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Key Points

The aim is to develop a framework for accurately segmenting lung nodules using a U-net network.
Developing a U-net architecture for image segmentation.
Collecting medical imaging datasets of lung nodules.
Testing the segmentation accuracy against existing methods.
The U-net framework shows higher accuracy in lung nodule segmentation.
Reduced computational time compared to previous models.
Improvement in distinguishing between malignant and benign nodules.

Implication

This framework demonstrates enhanced lung nodule segmentation accuracy in medical imaging, suggesting improved diagnostics.

Abstract

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Cite This Study

Huynh et al. (2026) studied this question.

synapsesocial.com/papers/69d0afde659487ece0fa6097 https://doi.org/10.1504/ijiids.2026.10077398

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