Abstract: Does bone suppression and lung detection improve chest disease classification?

First published in
Informatik aktuell 
Start Page
184
Citation
Informatik aktuell : 184 (2019)
Contribution to Conference
Workshop on Bildverarbeitung fur die Medizin, 2019 
Publisher DOI
10.1007/978-3-658-25326-4_39
Scopus ID
2-s2.0-85065077091
Publisher
Springer Vieweg
Chest radiography is the most common clinical examination type. To improve the quality of patient care and to reduce workload, researchers started developing methods for automatic pathology classification. In our paper, we investigate the effect of advanced image processing techniques – initially developed to support radiologists – on the performance of deep learning techniques.