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cs.CV2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga, Heinrich Schulz, Axel Saalbach
Over the last years, Deep Learning has been successfully applied to a broad range of medical applications. Especially in the context of chest X-ray classification, results have bee…
cs.CV2018
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?
Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich +6
Chest radiography is the most common clinical examination type. To improve the quality of patient care and to reduce workload, methods for automatic pathology classification have b…
cs.CV2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Ivo M. Baltruschat, Hannes Nickisch, Michael Grass +2
The increased availability of X-ray image archives (e.g. the ChestX-ray14 dataset from the NIH Clinical Center) has triggered a growing interest in deep learning techniques. To pro…