The goal of this AI solution is to detect in real time diseases from chest x-ray images using deep learning algorithms that leverage convolutional neural network to build a model used in predictions. I developed a UI that allows a chest x-ray digital image to be uploaded and classified in real-time into any of the 13 different disease categories. It display this information in the form of a bar-chart with probablity in terms of percentage of each disease category.

Classes of Diseases

The following are the list of the 14 categories of diseases our dataset is associated with for now:

1. Atelectasis
2. Cardiomegaly
3. Consolidation
4. Edema
5. Emphysema
6. Fibrosis
7. Hernia
8. Infiltration
9. Mass
10. Nodule
11. Plueral Thickening
12. Pneumonia
13. Pneumothorax Note: It is possible to add more classes of disease.