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Previous Issues Volume 10, Issue 1 - 2025
Analysis of Chest CT Images Using an Eight-Layer Convolutional Neural Network
Netanel Stern*
ai.school, Israel
*Corresponding Author: Mr. Netanel Stern, ai.school, sifan 5 rosh haayin, Israel, Phone: +972559708708, Whatsapp: +972546158656, E-mail: [email protected]
Received Date: December 19, 2024
Published Date: January 10, 2025
Citation: Stern N. (2025). Analysis of Chest CT Images Using an Eight-Layer Convolutional Neural Network. Mathews J Case Rep. 10(1):196.
Copyrights: Stern N. © (2025).
ABSTRACT
This study examines the application of an eight-layer Convolutional Neural Network (CNN) for binary classification of axial chest CT images into two categories: Healthy (HC) and Cancer (C). The developed model achieved statistically significant separation between the classes, with p-values of 0.0011 for distinguishing Healthy from Cancer patients.
Keywords: Cancer, Chest, Convolutional Neural Network, CT Images.
