Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

[HTML][HTML] Deep learning for chest X-ray analysis: A survey

E Çallı, E Sogancioglu, B van Ginneken… - Medical image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT

L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai… - …, 2020 - pmc.ncbi.nlm.nih.gov
Background Coronavirus disease has widely spread all over the world since the beginning
of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest …

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey

S Bhattacharya, PKR Maddikunta, QV Pham… - Sustainable cities and …, 2021 - Elsevier
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …

CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi …

T Mahmud, MA Rahman, SA Fattah - Computers in biology and medicine, 2020 - Elsevier
With the recent outbreak of COVID-19, fast diagnostic testing has become one of the major
challenges due to the critical shortage of test kit. Pneumonia, a major effect of COVID-19 …

Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy

L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu… - Radiology, 2020 - pubs.rsna.org
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world
since the beginning of 2020. It is desirable to develop automatic and accurate detection of …

Transfer learning with deep convolutional neural network (CNN) for pneumonia detection using chest X-ray

T Rahman, MEH Chowdhury, A Khandakar, KR Islam… - Applied Sciences, 2020 - mdpi.com
Pneumonia is a life-threatening disease, which occurs in the lungs caused by either
bacterial or viral infection. It can be life-endangering if not acted upon at the right time and …

Viral pneumonia screening on chest X-rays using confidence-aware anomaly detection

J Zhang, Y **e, G Pang, Z Liao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Clusters of viral pneumonia occurrences over a short period may be a harbinger of an
outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays …

Weakly supervised deep learning for covid-19 infection detection and classification from ct images

S Hu, Y Gao, Z Niu, Y Jiang, L Li, X **ao, M Wang… - IEEE …, 2020 - ieeexplore.ieee.org
An outbreak of a novel coronavirus disease (ie, COVID-19) has been recorded in Wuhan,
China since late December 2019, which subsequently became pandemic around the world …

Pneumonia classification using deep learning from chest X-ray images during COVID-19

AU Ibrahim, M Ozsoz, S Serte, F Al-Turjman… - Cognitive …, 2024 - Springer
The outbreak of the novel corona virus disease (COVID-19) in December 2019 has led to
global crisis around the world. The disease was declared pandemic by World Health …