Objective
Chest X-Rays (CXRs) are widely used for diagnosing abnormalities in the heart and lung area. Automatically detecting these abnormalities with high accuracy could greatly enhance real world diagnosis processes Chest abnormality detection solution is built with an objective to develop a decision support system for data scientists and clinician to detect abnormalities in chest x-ray.
Outcome
The solution is a computer vision prototype for the detection and identification of different types of anomalies from X-ray images, aimed at both data scientists and clinicians.