Tongue Diagnosis using CNN for Disease Detection

Abstract

In this modern lifestyle, technologies are helping us to maintain our finances, our household things, shopping, and so on. In our research work, we have proposed an application that would tell you the disease or infection that you may have with the help of the developing technology. In this pandemic period, we have to be safer and more Responsible. We have to avoid visiting public places as much as possible for us and our society. Our main aim is to reduce death rates which are all caused due to finding the disease at its final stage because of hesitation to visit the hospital during this pandemic or because of our carelessness. We can overcome it by checking for diseases or infections frequently using a mobile app. In this research work, we are planning to develop a mobile application using which we can frequently check for diseases or infections since we always have our mobile phones with us. With this application, we can detect the percentage of chance of disease that the user may have through tongue diagnosis by considering changes in various tongue factors. The basic objective of the research work is to make people know about their body condition at an earlier stage more easily and quickly with their smart mobile. In this report, we have included the literature survey made for this proposed system, existing works, software requirements, the proposed system, etc.

Convolution Neural Network Based Multi- Label Disease Detection using Tongue Images

“…Explored the possibility of monitoring health status by tongue images using CNN algorithm which could be deployed on android mobile app [46]. Preprints.org (www.preprints.org) | NOT PEER-REVIEWED | Posted:…”