Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN

Abstract The recent advancements in automated lung cancer diagnosis through the application of Convolutional Neural Networks (CNN) on Computed Tomography (CT) scans have marked a significant leap in medical imaging and diagnostics. The precision of these CNN-based classifiers in detecting and analyz...

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Bibliographic Details

Main Authors:	Chengping Zhang, Muhammad Aamir, Yurong Guan, Muna Al-Razgan, Emad Mahrous Awwad, Rizwan Ullah, Uzair Aslam Bhatti, Yazeed Yasin Ghadi
Format:	Artigo
Language:	Inglês
Published:	SpringerOpen 2024-04-01
Series:	Journal of Cloud Computing: Advances, Systems and Applications
Subjects:	DenseNet Convolutional neural network Lungs classification
Online Access:	https://doi.org/10.1186/s13677-024-00597-w
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