Deep Learning for Chest Radiographs

Chapter 6: Hybrid computer-aided classification system design using 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 experiment carried out for the design of a hybrid CAC system using end-to-end Pre-trained GoogLeNet CNN model as a deep feature extractor and PCA-SVM classifier for chest radiographs. It explains in detail the concepts of feature dimensionality reduction and the steps involved in implementing PCA and SVM classifier. The code snippets of the different experiments aim at giving a better understanding to the programmatic implementation of designing these CAC systems.

Keywords

Hybrid CAC system; DAG network; Deep ...