Very large multimodal multi-architecture convolutional neural network with bundled transfer learning for automated coronavirus diagnosis

Cuong Do; Lan Vu

doi:10.1117/12.2582626

20 September 2020 Very large multimodal multi-architecture convolutional neural network with bundled transfer learning for automated coronavirus diagnosis

Cuong Do, Lan Vu

Author Affiliations +

Proceedings Volume 11543, Artificial Intelligence and Machine Learning in Defense Applications II; 115430R (2020) https://doi.org/10.1117/12.2582626
Event: SPIE Security + Defence, 2020, Online Only

Conference Poster

Abstract

We propose the so-called Bundled Transfer Learning approach with multiple large architectures for automated detection of Coronavirus using X-Ray and CT images. Extracted features from each pretrained model in the bundle are gathered for training new deep layers. The dataset includes CT scan images of COVID-19 and normal classes and X-Ray images of COVID-19, Pneumonia, and normal classes.

Citation Download Citation

Cuong Do and Lan Vu "Very large multimodal multi-architecture convolutional neural network with bundled transfer learning for automated coronavirus diagnosis", Proc. SPIE 11543, Artificial Intelligence and Machine Learning in Defense Applications II, 115430R (20 September 2020); https://doi.org/10.1117/12.2582626

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE