This paper is published in Volume-7, Issue-3, 2021
Area
Computer Science
Author
Shekhar Gaikwad, Yogita Shinde, Arti Vadavale, Nilam Gaikwad, Sunil S. Khatal
Org/Univ
Sharadchandra Pawar College of Engineering, Pune, Maharashtra, India
Pub. Date
07 June, 2021
Paper ID
V7I3-1704
Publisher
Keywords
Tensorflow, Keras, Deep Learning, Transfer Learning, covid-19

Citationsacebook

IEEE
Shekhar Gaikwad, Yogita Shinde, Arti Vadavale, Nilam Gaikwad, Sunil S. Khatal. Viral vs Bacterial Pneumonia Image Classification using Transfer Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Shekhar Gaikwad, Yogita Shinde, Arti Vadavale, Nilam Gaikwad, Sunil S. Khatal (2021). Viral vs Bacterial Pneumonia Image Classification using Transfer Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Shekhar Gaikwad, Yogita Shinde, Arti Vadavale, Nilam Gaikwad, Sunil S. Khatal. "Viral vs Bacterial Pneumonia Image Classification using Transfer Learning." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

The Purpose of this Project is to Develop a Project to Detect Covid-19 Viral and Bacterial Pneumonia using Transfer Learning form Medical images. Covid 19 2nd wave is spreading Rapidly and more deadly than the first wave we need effective and accurate models to Detect Covid-19 using AI and the challenges are quite big we don’t have that big datasets so instead of building model from scratch we used prebuild CNN Model and Transfer Learning for accurate prediction on test Dataset. This one is just Binary Classification model which uses images Bacterial and viral pneumonia images for the training