Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study.
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TL;DR: This paper proposes a DL assisted automated method using X-ray images for early diagnosis of COVID-19 infection and evaluates the effectiveness of eight pre-trained Convolutional Neural Network models such as AlexNet, VGG-16, GoogleNet, MobileNet-V2, SqueezeNet, ResNet-34, Res net-50 and Inception-V3 for classification of CO VID-19 from normal cases.
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About: This article is published in Biomedical Signal Processing and Control. The article was published on 01 Feb 2021. and is currently open access. The article focuses on the topics: Deep learning.
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Citations
COVID-19 and Pneumonia Recognition based on Data Augmentation and Transfer Learning
Zhe Li
- 01 Aug 2021
TL;DR: Li et al. as discussed by the authors used transfer learning to diagnose pneumonia and solve some urgent difficulties in chest X-ray images, such as the naked eye is difficult to find tiny abnormalities, the chest Xray images researchers have is limited and doctors is unfamiliar with this new disease.
Implementation of Deep Learning In Detection of Covid-19 In X-ray Images Using Raspberry Pi
Tiba Saad Mohammed,Oday A.L.A Ridha +1 more
- 07 Sep 2022
TL;DR: In this paper , the authors proposed a system for detecting COVID-19 in Chest X-ray (CXR) images based on the DenseNet-201 pre-trained network.
Analysis Of Covid-19 Using Chest X-Ray Images: An AI Based Prospective
Himani Kohli,Abhay Bansal +1 more
- 15 Nov 2022
TL;DR: In this article , a review paper with artificial intelligence as a primary objective is made to make a comparative analyses of the distinct characteristics of data, mainly x-ray images of the chest, providing technologies and approaches to detect and prognosis coronavirus with learning algorithms.
A blind steganalysis-based predictive analytics of numeric image descriptors for digital forensics with Random Forest & SqueezeNet
01 Nov 2022
TL;DR: In this paper , the authors employed deep learners as image embedding networks aimed at feature extraction for a predictive analytics of image steganalysis, and the extracted numeric image descriptors trains three learner algorithms for pattern recognition using a 10 fold cross-validation system.
What Is Deep Learning and How Has It Helped the COVID-19 Pandemic?
E. Kartal,Odelia Schwartz +1 more
TL;DR: This chapter aims to present how deep learning is used for the COVID-19 pandemic, and covers the fundamentals of deep learning in terms of definitions, key concepts, popular network types, and application areas.
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