Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images
H Naeem, AA Bin-Salem - Applied Soft Computing, 2021 - Elsevier
Auto-detection of diseases has become a prime issue in medical sciences as population
density is fast growing. An intelligent framework for disease detection helps physicians …
density is fast growing. An intelligent framework for disease detection helps physicians …
Cost-sensitive learning for imbalanced medical data: a review
Abstract Integrating Machine Learning (ML) in medicine has unlocked many opportunities to
harness complex medical data, enhancing patient outcomes and advancing the field …
harness complex medical data, enhancing patient outcomes and advancing the field …
Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays
The human respiratory system might be seriously affected by COVID-19 infection. Therefore,
early classification of it is a crucial task. Quantum machine learning and quantum neural …
early classification of it is a crucial task. Quantum machine learning and quantum neural …
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Abstract COVID-19 (SARS-CoV-2), which causes acute respiratory syndrome, is a
contagious and deadly disease that has devastating effects on society and human life …
contagious and deadly disease that has devastating effects on society and human life …
A novel approach to detect COVID-19: enhanced deep learning models with convolutional neural networks
AA Ramadhan, M Baykara - Applied Sciences, 2022 - mdpi.com
The novel coronavirus (COVID-19) is a contagious viral disease that has rapidly spread
worldwide since December 2019, causing the disruption of life and heavy economic losses …
worldwide since December 2019, causing the disruption of life and heavy economic losses …
Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
The outbreak of novel coronavirus (COVID-19) disease has infected more than 135.6 million
people globally. For its early diagnosis, researchers consider chest X-ray examinations as a …
people globally. For its early diagnosis, researchers consider chest X-ray examinations as a …
A deep learning and handcrafted based computationally intelligent technique for effective COVID-19 detection from X-ray/CT-scan imaging
The world has witnessed dramatic changes because of the advent of COVID19 in the last
few days of 2019. During the last more than two years, COVID-19 has badly affected the …
few days of 2019. During the last more than two years, COVID-19 has badly affected the …
HQF-CC: hybrid framework for automated respiratory disease detection based on quantum feature extractor and custom classifier model using chest X-rays
In recent years, humans have been affected by a variety of respiratory diseases, such as dry
cough, fever, pneumonia, and COVID-19. Respiratory diseases may severely damage the …
cough, fever, pneumonia, and COVID-19. Respiratory diseases may severely damage the …
DCML: Deep contrastive mutual learning for COVID-19 recognition
H Zhang, W Liang, C Li, Q **ong, H Shi, L Hu… - … Signal Processing and …, 2022 - Elsevier
COVID-19 is a form of disease triggered by a new strain of coronavirus. Automatic COVID-19
recognition using computer-aided methods is beneficial for speeding up diagnosis …
recognition using computer-aided methods is beneficial for speeding up diagnosis …