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.

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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

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