Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis

Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis

This study presents a computer-aided diagnostic (CAD) framework that integrates multi-domain features through a hybrid methodology. The system uses several light deep networks (EfficientNetB0, MobileNet, and ResNet-18), which feature fewer layers and parameters, unlike traditional systems that depen...

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Bibliographic Details
Main Author: Omneya Attallah
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Technologies
Subjects:
medical image analysis
convolutional neural networks
gray-level co-occurrence matrix
local binary pattern
feature fusion
feature selection
Online Access:https://www.mdpi.com/2227-7080/13/5/173
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https://www.mdpi.com/2227-7080/13/5/173

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