Deep Learning for Chest Radiographs

Chapter 9: Hybrid computer-aided classification system design using lightweight end-to-end Pre-trained CNN-based deep feature extraction and PCA-SVM classifier for chest radiographs

Abstract

This chapter covers the exhaustive description of the experiments carried out for the design of a hybrid CAC system using lightweight end-to-end Pre-trained MobileNetV2 CNN model as deep feature extractor and PCA-SVM classifier for chest radiographs. The code snippets of the different experiments aim at giving a better understanding to the programmatic implementation of designing this CAC system.

Keywords

Hybrid CAC system; DAG network; Deep feature extraction; MobileNetv2; Feature selection; CFS; Feature dimensionality reduction; PCA; Machine learning; ...