The impact of transfer learning on lung cancer detection using various deep neural network architectures

N Vijayan, J Kuruvilla - 2022 IEEE 19th India Council …, 2022 - ieeexplore.ieee.org
Lung cancer is the primary reason for death among cancer patients. Early diagnosis of lung
cancer in patients has a much higher chance of survival than when lung cancer has spread …

A Systematic Literature Review of Convolutional Neural Network Architecture for Lung Disease Detection

YY Sugandi, I Soesanti… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Lung disease is a severe threat to the respiratory system and can be fatal if not treated
immediately. Common examples include Pneumonia, Covid-19, Lung Cancer, and …

Lung cancer detection and classification using CNN and image segmentation

D Hrizi, K Tbarki, S Elasmi - 2023 IEEE Tenth International …, 2023 - ieeexplore.ieee.org
Lung cancer is one of the most prevalent cancers in the world. It is a particular illness that
gets out of hand. and creates aberrant lung cell growth. Deoxyribonucleic acid (DNA) …

Lung Cancer Detection using Machine Learning Approach

MA Hamim, FM Tanmoy, UFT Asha… - 2023 IEEE 22nd …, 2023 - ieeexplore.ieee.org
The detection of lung cancer is a critical factor in enhancing patient survival rates. The
integration of intelligent computer-aided systems can significantly aid radiologists in this …

An Experimental Analysis of Lung Cancer Classification Based on Autoencoder on CT Scan Images

S Sivakumar, R Govindaraj - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
When it comes to medical picture recognition, convolutional neural networks are now the
gold standard. The mistake in recreating the CT picture is responsible for the low overall …