Pneumonia Detection using Mask RCNN

The case study is based on Kaggle RSNA Pneumonia detection challenge which was done on In this Kaggle challenge we need to detect a visual signal for pneumonia in medical images. The solution should be able to automatically locate lung opacities on chest radiographs. In US it accounts for 500K emergency visits to emergency departments. Accurately diagnosing pneumonia is tedious work. Trained radiologist requires various tests, examinations and chest radiograph (CXR)to diagnose the disease.