Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection

Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection

The automated and precise classification of lung and colon cancer from histopathological photos continues to pose a significant challenge in medical diagnosis, as current computer-aided diagnosis (CAD) systems are frequently constrained by their dependence on singular deep learning architectures, el...

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Bibliographic Details
Main Author: Omneya Attallah
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Technologies
Subjects:
lung and colon classification
deep learning
convolutional neural networks
computer-aided diagnosis
canonical correlation analysis
feature selection
Online Access:https://www.mdpi.com/2227-7080/13/2/54
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