Deep Learning for Chest Radiographs

Chapter 5: Hybrid computer-aided classification system design using end-to-end CNN-based deep feature extraction and ANFC-LH classifier for chest radiographs

Abstract

This chapter covers the description of the experiment carried out for the design of a hybrid CAC system using end-to-end Pre-trained CNN-based deep feature extraction and ANFC-LH classifier for chest radiographs. It explains in detail the concept of deep feature extraction using the Pre-trained end-to-end CNN model, feature selection, and the architecture of ANFC classifier used for carrying out the experiment. The code snippets of the different experiments aim at giving a better understanding to the programmatic implementation of designing these CAC systems.

Keywords

Hybrid ...