| Autor: |
BASANTWANI, NITIN, KUMAR, ASHISH, GANGWAR, SUMIT, OLKHA, ASHISH, PRIJWAL, PRINCE, MATHUR, GAURI |
| Předmět: |
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| Zdroj: |
INFOCOMP: Journal of Computer Science; Jun2021, Vol. 20 Issue 1, p91-100, 10p |
| Abstrakt: |
The Covid-19 android app based on Chest X-rays & CT scans is an integration of Machine learning and android. Our group developed an android application that uses a Deep learning model and predict if the user is suffering from Covid based on the chest X-rays & CT scans. The main tools used for the development of this project were android studio & Firebase for android app development, Jupyter notebook & google Colab as a code editor along with google drive to fetch the data. The main Libraries used for training ML models were Tensorflow, Keras and the method used was Transfer Learning using the pre-trained model InceptionV3. In coping and fighting against COVID-19, the most critical step is to effectively screen and diagnose infected patients. RT-PCR is considered to be a reliable test for detection of coronavirus, but the problem with RT-PCR test and Elisa tests is that they take a lot of time to generate results, Since Covid is highly contagious and spreads through Human-to-Human Interactions it's Crucial to detect it as early as possible to stop the transmission. Corona is an Infectious disease that affects the Lungs similar to Pneumonia, Deep Learning and Machine Learning models have produced significant results in the past for pneumonia detection in Lungs for this research project we tried to implement the same approach. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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