A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
Harnessing artificial intelligence in radiology to augment population health
JZT Sim, KN Bhanu Prakash, WM Huang… - Frontiers in medical …, 2023 - frontiersin.org
This review article serves to highlight radiological services as a major cost driver for the
healthcare sector, and the potential improvements in productivity and cost savings that can …
healthcare sector, and the potential improvements in productivity and cost savings that can …
[HTML][HTML] The growing problem of radiologist shortages: perspectives from Singapore
CXY Goh, FCH Ho - Korean Journal of Radiology, 2023 - ncbi.nlm.nih.gov
CONCLUSION With increasing imaging demands due to an aging population and rising
chronic diseases, and a relative shortage of radiologists, Singapore will have to leverage …
chronic diseases, and a relative shortage of radiologists, Singapore will have to leverage …
Quality assurance of chest X-ray images with a combination of deep learning methods
D Oura, S Sato, Y Honma, S Kuwajima, H Sugimori - Applied Sciences, 2023 - mdpi.com
Background: Chest X-ray (CXR) imaging is the most common examination; however, no
automatic quality assurance (QA) system using deep learning (DL) has been established for …
automatic quality assurance (QA) system using deep learning (DL) has been established for …
Effective detection of COVID-19 outbreak in chest X-Rays using fusionnet model
GK Yenurkar, S Mal - The Imaging Science Journal, 2022 - Taylor & Francis
The worldwide pandemic of coronavirus disease 2019 (COVID-19) triggers acute respiratory
difficulties and breathing disorders in humans. The reverse transcription-polymerasssse …
difficulties and breathing disorders in humans. The reverse transcription-polymerasssse …
Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs
Chest X-rays (CXRs) are essential in the preliminary radiographic assessment of patients
affected by COVID-19. Junior residents, as the first point-of-contact in the diagnostic process …
affected by COVID-19. Junior residents, as the first point-of-contact in the diagnostic process …
CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification
PHH Yuen, X Wang, Z Lin, NKW Chow, J Cheng… - … Workshop on Machine …, 2022 - Springer
Chest X-ray (CXR) is a common imaging modality for examination of pneumonia. However,
some pneumonia signs which are visible in CT may not be clearly identifiable in CXR. It is …
some pneumonia signs which are visible in CT may not be clearly identifiable in CXR. It is …
[PDF][PDF] Applications Used in the Clinical and Public Health Response to COVID-19
This study was prepared for the Patient-Centered Outcomes Research Institute (PCORI)
Emerging Technology and Therapeutics Report series. This study, on the use of artificial …
Emerging Technology and Therapeutics Report series. This study, on the use of artificial …
[PDF][PDF] CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification
PYH Hin, X Wang, Z Lin, NCK Wai, J Cheng, CH Tan… - oar.a-star.edu.sg
Chest X-ray (CXR) is a common imaging modality for examination of pneumonia. However,
some pneumonia signs which are visible in CT may not be clearly identifiable in CXR. It is …
some pneumonia signs which are visible in CT may not be clearly identifiable in CXR. It is …