A Hybrid Deep Learning Framework for Lung Cancer Classification Using  Explainable AI and Dynamic Branching Networks

Manchem Vasanthika Krishnaveni,Kopparthi Suresh

A Hybrid Deep Learning Framework for Lung Cancer Classification Using Explainable AI and Dynamic Branching Networks

Authors

Manchem Vasanthika Krishnaveni,Kopparthi Suresh

Keywords:

Lung Cancer Detection, Deep Learning, Explainable AI, AlexNet, ResNet50, Transformer Networks, Dynamic Branching Network, CT Scan Analysis, Medical Image Classification, Support Vector Machine, Feature Selection, Healthcare AI

Abstract

Lung cancer is one of the leading causes of cancer-related deaths worldwide, making early andaccurate diagnosis essential for improving patient survival rates. Recent advancements in artificial intelligence and deep learning have significantly enhanced medical image analysis

References

Sreeprada, V., & Vedavathi, K. (2023). Lung Cancer Detection from X-Ray Images using Hybrid Deep Learning Technique. Procedia Computer Science, 230, 467–474. https://doi.org/10.1016/j.procs.2023.12.102

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Published

2026-05-27

How to Cite

Manchem Vasanthika Krishnaveni,Kopparthi Suresh. (2026). A Hybrid Deep Learning Framework for Lung Cancer Classification Using Explainable AI and Dynamic Branching Networks . Journal of Computational Analysis and Applications (JoCAAA), 35(5), 347–358. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5501