Pneumonia Detection

Pneumonia Detection

The WHO estimates that a large number of premature deaths occur annually from diseases like pneumonia. Over 150 million people and children are get infected with pneumonia on an annual basis. In some regions, the problem is further aggravated due to the limited medical resources and personnel so accurate and fast diagnosis can be life saving.

It can guarantee timely access to treatment and save much needed time and money for those already experiencing poverty. Due to lack of resources, it is challenging to test all cases of Pneumonia in a large population area. Our Pneumonia detection system, which is fully based on deep learning and uses common chest X-ray as input data seeded to our Neural Network, helps overcome some of the challenges.

Features

Instant Prediction
It can detect the disease very fast.
Reliability of our prediction system is very high.
We can detect effective part through hit map.

Uses

  • Treatment in the Rural Area : The treatment of the pneumonia for the poor people can be costly and availability of the radiologists in the rural area is not sufficient. People from the rural area goes to the nearest city for their treatment. The whole process becomes costly and time-consuming.
  • Other Medicine fields : The same method can be extended to analyse pattern of x-rays, CT Scans and other medical reports and help in faster diagnosis of other crtical diseases.
  • Infant baby’s Treatment : The treatment of the babies is critical and time sensitive.