Deep Learning for Medical Image Analysis

Chapter 13

Chest Radiograph Pathology Categorization via Transfer Learning

Idit Diamant^⁎,1; Yaniv Bar^⁎,1; Ofer Geva^⁎; Lior Wolf^⁎; Gali Zimmerman^⁎; Sivan Lieberman^†; Eli Konen^†; Hayit Greenspan^{⁎    ⁎}Tel-Aviv University, Ramat-Aviv, Israel^†Sheba Medical Center, Tel-Hashomer, Israel¹Equal contributors.

Abstract

The goal of this chapter is to give an overview of the research we have been conducting in automated X-ray pathology detection for the past 10 years, from bag-of-visual-words (BoVW) models to the Convolutional Neural Network (CNN) Deep Learning schemes. Our study was one of the first to suggest the possibility of using non-medical training, using transfer learning from the general imagery to the medical domain. In this chapter we ...