[HTML][HTML] A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
lung diseases in medical images. Hence, numerous work on the detection of lung disease …
[HTML][HTML] Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19
Shortly after deep learning algorithms were applied to Image Analysis, and more importantly
to medical imaging, their applications increased significantly to become a trend. Likewise …
to medical imaging, their applications increased significantly to become a trend. Likewise …
Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images
Background and Purpose: Coronaviruses (CoV) are perilous viruses that may cause Severe
Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV) …
Acute Respiratory Syndrome (SARS-CoV), Middle East Respiratory Syndrome (MERS-CoV) …
Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks
The COVID-19 pandemic in 2020 has highlighted the need to pull all available resources
towards the mitigation of the devastating effects of such” Black Swan” events. Towards that …
towards the mitigation of the devastating effects of such” Black Swan” events. Towards that …
Deep pre-trained networks as a feature extractor with XGBoost to detect tuberculosis from chest X-ray
M Rahman, Y Cao, X Sun, B Li, Y Hao - Computers & Electrical Engineering, 2021 - Elsevier
Pulmonary Tuberculosis is a plague caused by Mycobacterium tuberculosis or Tubercle
bacillus, which kills 1.8 million people worldwide. Tuberculosis is among the top 10 deadly …
bacillus, which kills 1.8 million people worldwide. Tuberculosis is among the top 10 deadly …
[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …
COVID-19 and chest radiography has an important role in the detection, and subsequent …
Deep learning applied to automatic disease detection using chest x‐rays
DA Moses - Journal of Medical Imaging and Radiation …, 2021 - Wiley Online Library
Deep learning (DL) has shown rapid advancement and considerable promise when applied
to the automatic detection of diseases using CXRs. This is important given the widespread …
to the automatic detection of diseases using CXRs. This is important given the widespread …
[HTML][HTML] A systematic review of deep learning techniques for tuberculosis detection from chest radiograph
M Oloko-Oba, S Viriri - Frontiers in medicine, 2022 - frontiersin.org
The high mortality rate in Tuberculosis (TB) burden regions has increased significantly in the
last decades. Despite the possibility of treatment for TB, high burden regions still suffer …
last decades. Despite the possibility of treatment for TB, high burden regions still suffer …
[PDF][PDF] COVID-X: novel health-fog framework based on neutrosophic classifier for confrontation covid-19
The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is
highlytransmittable and pathogenic with no clinically approved antiviral drug or vaccine …
highlytransmittable and pathogenic with no clinically approved antiviral drug or vaccine …