LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22770
Abstract: The syndrome called COVID‐19 which was firstly spread in Wuhan, China has already been declared a globally “Pandemic.” To stymie the further spread of the virus at an early stage, detection needs to be done.… read more here.
Keywords: neural network; deep neural; ray images; covid ... See more keywords
Dangerous goods detection based on transfer learning in X-ray images
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04360-0
Abstract: Computer vision technology is used to analyze X-ray images and detect dangerous goods in the process of logistics and express delivery. It is a security technology which can reduce labor strength and improve working efficiency.… read more here.
Keywords: transfer learning; detection; dangerous goods; goods detection ... See more keywords
Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-019-00201-7
Abstract: Catheters are commonly inserted life supporting devices. Because serious complications can arise from malpositioned catheters, X-ray images are used to assess the position of a catheter immediately after placement. Previous computer vision approaches to detect… read more here.
Keywords: detection; pediatric ray; network; ray images ... See more keywords
Heterogeneous Stitching of X-ray Images According to Homographic Evaluation
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-021-00503-9
Abstract: The C-arm X-ray system is a common intraoperative imaging modality used to observe the state of a fractured bone in orthopedic surgery. Using C-arm, the bone fragments are aligned during surgery, and their lengths and… read more here.
Keywords: heterogeneous stitching; homography; ray image; ray images ... See more keywords
Handgun Detection in Single-Spectrum Multiple X-ray Views Based on 3D Object Recognition
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Nondestructive Evaluation"
DOI: 10.1007/s10921-019-0602-9
Abstract: In the last years, many computer vision algorithms have been proposed for baggage inspection using X-ray images. In these approaches, the idea is to detect automatically threat objects. In baggage inspection, however, a single view… read more here.
Keywords: single spectrum; ray; spectrum multiple; ray images ... See more keywords
Recognizing COVID-19 from chest X-ray images for people in rural and remote areas based on deep transfer learning model
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-022-12030-y
Abstract: In this article, we propose Deep Transfer Learning (DTL) Model for recognizing covid-19 from chest x-ray images. The latter is less expensive, easily accessible to populations in rural and remote areas. In addition, the device… read more here.
Keywords: class; deep transfer; ray images; covid chest ... See more keywords
Application of Image Texture Analysis for Evaluation of X-Ray Images of Fungal-Infected Maize Kernels
Sign Up to like & getrecommendations! Published in 2018 at "Food Analytical Methods"
DOI: 10.1007/s12161-018-1251-9
Abstract: The feasibility of image texture analysis to evaluate X-ray images of fungal-infected maize kernels was investigated. X-ray images of maize kernels infected with Fusarium verticillioides and control kernels were acquired using high-resolution X-ray micro-computed tomography.… read more here.
Keywords: maize kernels; image; image texture; analysis ... See more keywords
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Sign Up to like & getrecommendations! Published in 2021 at "Interdisciplinary Sciences, Computational Life Sciences"
DOI: 10.1007/s12539-020-00403-6
Abstract: Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and mankind all over the world is vulnerable to this virus. Alternative tools are needed that can help in diagnosis of the coronavirus. Researchers… read more here.
Keywords: machine learning; diagnosis; covid; ray images ... See more keywords
COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-02917-3
Abstract: COVID-19 pandemic is widely spreading over the entire world and has established significant community spread. Fostering a prediction system can help prepare the officials to respond properly and quickly. Medical imaging like X-ray and computed… read more here.
Keywords: convolutional neural; chest ray; ray images; neural network ... See more keywords
Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03075-2
Abstract: In this research, A Deep Convolutional Neural Network was proposed to detect Pneumonia infection in the lung using Chest X-ray images. The proposed Deep CNN models were trained with a Pneumonia Chest X-ray Dataset containing… read more here.
Keywords: proposed deep; network; deep convolutional; chest ray ... See more keywords
AutoCovNet: Unsupervised feature learning using autoencoder and feature merging for detection of COVID-19 from chest X-ray images
Sign Up to like & getrecommendations! Published in 2021 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2021.09.004
Abstract: With the onset of the COVID-19 pandemic, the automated diagnosis has become one of the most trending topics of research for faster mass screening. Deep learning-based approaches have been established as the most promising methods… read more here.
Keywords: network; feature; merging network; chest ray ... See more keywords