Covid-19 detection via deep neural network and occlusion sensitivity maps
Deep learning approaches have attracted a lot of attention in the automatic detection of Covid-19 and transfer learning is the most common approach. However, majority of the pre-trained models are trained on color images, which can cause inefficiencies when fine-tuning the models on Covid-19 images...
Main Authors: | Muhammad Aminu, Noor Atinah Ahmad, Mohd Halim Mohd Noor |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-10-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016821002076 |
Similar Items
-
DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep Network
by: Dongjiu Zhang, et al.
Published: (2020-01-01) -
Face Occlusion Recognition With Deep Learning in Security Framework for the IoT
by: Li Mao, et al.
Published: (2019-01-01) -
Covid-19 Detection using Deep Convolutional Neural Networks from X-Ray Images
by: Abdullah Ajmal, et al.
Published: (2021-06-01) -
Dictionary Representation of Deep Features for Occlusion-Robust Face Recognition
by: Feng Cen, et al.
Published: (2019-01-01) -
Application to science of occlusion in occlusal reconstruction
by: WANG Mei-qing, et al.
Published: (2016-10-01)