Medical Image analysis through Deep Learning
HOW IT WORKS
01
Image Upload
You upload a medical imaging image, say an X-ray to the application
02
Image Analysis
Our state of the art deep learning models analyze the input image, and classifies it according to the feature/disease detected.
03
Display Results
View the disease or feature associated with the image. It is as simple as that!
However, we need your insight
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Which type of imaging would you most likely want to analyze and predict a disease/feature using this tool (such as X-rays, retinal photographs, CT scans, MRI, photographs of patient’s skin etc.)
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Would you use this tool as a learning application, or as an advisory/helper application on real patient data.
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How would the prevalence of such image analysis tool determine the future of the healthcare industry?
We need answers to these questions. Please take our short survey and provide us with your valuable insights!
About Us
My Story
I am Ritabrata Maiti, an Undergrad Computer Science student, and a Data Scientist at the same time.
My Vision
I would like to make the world a better place, through the usage of Machine Learning in Healthcare. I believe A.I. is an empowering tool, and in the right hands will better the lives of millions of people around the globe.
This is my prime motivation for building deep learning tools for medical image analysis, to aid early detection of diseases.
TECHNOLOGY
Python is the main programming language used, along with the usage of Tensorflow, Keras and other related libraries for Deep learning in python. Web Interfaces are primarily built in javascript. Furthermore, we have used datasets from multiple public sources.