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, IsraelSheba Medical Center, Tel-Hashomer, Israel1Equal contributors.


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 ...

Get Deep Learning for Medical Image Analysis now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.