An optimized KELM approach for the diagnosis of COVID-19 from 2D-SSA reconstructed CXR Images
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DOI: 10.1016/j.ijleo.2021.167572
Abstract: The COVID-19 is proved to be the most infectious disease of the current century with a high mortality rate world-wide. The current RT-PCR test standard for the diagnosis of COVID-19 is an invasive and time-consuming… read more here.
Keywords: cxr images; diagnosis covid; covid; ssa reconstructed ... See more keywords
Real‐time COVID‐19 detection over chest x‐ray images in edge computing
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DOI: 10.1111/coin.12528
Abstract: Severe Coronavirus Disease 2019 (COVID‐19) has been a global pandemic which provokes massive devastation to the society, economy, and culture since January 2020. The pandemic demonstrates the inefficiency of superannuated manual detection approaches and inspires… read more here.
Keywords: detection; edge computing; chest ray; cxr images ... See more keywords
Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing
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DOI: 10.1155/2022/9036457
Abstract: Chest X-ray (CXR) imaging is one of the most widely used and economical tests to diagnose a wide range of diseases. However, even for expert radiologists, it is a challenge to accurately diagnose diseases from… read more here.
Keywords: hybrid inception; cxr; model; cxr images ... See more keywords
Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs
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DOI: 10.3233/xst-211047
Abstract: Background: Coronavirus Disease 2019 (COVID-19) is contagious, producing respiratory tract infection, caused by a newly discovered coronavirus. Its death toll is too high, and early diagnosis is the main problem nowadays. Infected people show a… read more here.
Keywords: diagnosis; cxr images; augmented cxrs; computer aided ... See more keywords
Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.
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DOI: 10.3233/xst-211113
Abstract: BACKGROUND Although detection of COVID-19 from chest X-ray radiography (CXR) images is faster that PCR sputum testing, the accuracy of detecting COVID-19 from CXR images is lacking in the existing deep learning models. OBJECTIVE This… read more here.
Keywords: covid; detection; segmentation networks; cxr images ... See more keywords
Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort
Sign Up to like & getrecommendations! Published in 2022 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2022.0189
Abstract: Objective This study aimed to investigate the feasibility of using artificial intelligence (AI) to identify normal chest radiography (CXR) from the worklist of radiologists in a health-screening environment. Materials and Methods This retrospective simulation study… read more here.
Keywords: normal chest; artificial intelligence; health screening; cxr images ... See more keywords
A Novel Machine Learning Approach for Tuberculosis Segmentation and Prediction Using Chest-X-Ray (CXR) Images
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DOI: 10.3390/app11199057
Abstract: Tuberculosis is a potential fatal disease with high morbidity and mortality rates. Tuberculosis death rates are rising, posing a serious health threat in several poor countries around the world. To address this issue, we proposed… read more here.
Keywords: cxr images; chest ray; tuberculosis; approach ... See more keywords
Multi-Channel Based Image Processing Scheme for Pneumonia Identification
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DOI: 10.3390/diagnostics12020325
Abstract: Pneumonia is a prevalent severe respiratory infection that affects the distal and alveoli airways. Across the globe, it is a serious public health issue that has caused high mortality rate of children below five years… read more here.
Keywords: multi channel; channel based; pneumonia; based image ... See more keywords
Detection of COVID-19 Based on Chest X-rays Using Deep Learning
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DOI: 10.3390/healthcare10020343
Abstract: The coronavirus disease (COVID-19) is rapidly spreading around the world. Early diagnosis and isolation of COVID-19 patients has proven crucial in slowing the disease’s spread. One of the best options for detecting COVID-19 reliably and… read more here.
Keywords: cxr images; covid; detection; deep learning ... See more keywords