Detecting Abnormal Chest X-rays using Deep Learning

Posted by Zaid Nabulsi, Software Engineer and Po-Hsuan Cameron Chen, Software Engineer, Google Health The adoption of machine learning (ML) for medical imaging applications presents an exciting opportunity to improve the availability, latency, accuracy, and consistency of chest X-ray (CXR) image interpretation. Indeed, a plethora of algorithms have already been developed to detect specific conditions, such as lung cancer, tuberculosis and pneumothorax. By virtue of being trained to detect a spec...

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