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Diagnostix - COVID-19 Identification through Radiographic Images

Shriram KV

Shriram KV

Bengaluru, Karnataka

3 0

We all are aware that One major symptom of COVID-19 is Pneumonia. The challenge lies in differentiating common cold from COVID-19. So, we propose a tool for the identification of COVID-19 through Deep Learning-based Classification of Radiographic Images. It works as follows: 1. The X-ray image of t ...learn more

Project status: Published/In Market

Artificial Intelligence

Intel Technologies
Intel NUC

Overview / Usage

One of the main symptoms of covid19 is pneumonia. We propose a Deep Neural Network Transfer learning approach to identify if a patient is affected by pneumonia and further identify if it is COVID pneumonia or non-COVID pneumonia. Our web/mobile application gets input and processes the input with a multi-level deep learning architecture which includes a custom-tuned Convolutional Neural Network at the first level to identify the presence of pneumonia and the second level to identify if the existing pneumonia is COVID-pneumonia or non-COVID pneumonia and displays the identified result in the same web/mobile application. The key objectives of the solution include:

  1. Pneumonia detection caused by covid19

  2. Reduce load on doctors

  3. Reduced time of identification of probable candidates

  4. Reduction of manpower.

  5. Tests only on most probable suspects

Methodology / Approach

A simple UI where the Doctors can upload the X Ray Images. In few seconds the result shall be presented as Normal, Pneumonia (Non Covid) or Covid 19 +

Technologies Used

Angular,

Deep Learning,

Python

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