Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

Chest X-ray is the most common medical imaging exam used to assess multiple pathologies. Automated algorithms and tools have the potential to support the reading workflow, improve efficiency, and reduce reading errors. With the availability of large scale data sets, several methods have been propose...

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Hauptverfasser: Guendel, Sebastian, Grbic, Sasa, Georgescu, Bogdan, Zhou, Kevin, Ritschl, Ludwig, Meier, Andreas, Comaniciu, Dorin
Format: Artikel
Sprache:eng
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