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

12 Mar 2018Sebastian GuendelSasa GrbicBogdan GeorgescuKevin ZhouLudwig RitschlAndreas MeierDorin Comaniciu

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... (read more)

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