Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification

Author:

Mansour Romany F.,Escorcia-Gutierrez José,Gamarra Margarita,Gupta Deepak,Castillo Oscar,Kumar Sachin

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. ImageNet classification with deep convolutional neural networks;Krizhevsky;Commun ACM,2017

2. An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19;Pustokhin;Journal of Applied Statistics,2020

3. IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification;Le;International Journal of Machine Learning and Cybernetics,2021

4. Image dissimilarity-based quantification of lung disease from CT;Sorensen,2010

5. Feature extraction and classification for human brain CT images;Zhang,2007

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