A systematic review on AI/ML approaches against COVID-19 outbreak
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
[HTML][HTML] Medical image processing and COVID-19: a literature review and bibliometric analysis
RA Abumalloh, M Nilashi, MY Ismail, A Alhargan… - Journal of infection and …, 2022 - Elsevier
COVID-19 crisis has placed medical systems over the world under unprecedented and
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
[HTML][HTML] Comparative study of machine learning methods for COVID-19 transmission forecasting
Within the recent pandemic, scientists and clinicians are engaged in seeking new
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
Literature survey shows that convolutional neural network (CNN)-based pretrained models
have been largely used for CoronaVirus Disease 2019 (COVID-19) classification using …
have been largely used for CoronaVirus Disease 2019 (COVID-19) classification using …
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion
L Kong, J Cheng - Biomedical Signal Processing and Control, 2022 - Elsevier
Since December 2019, the novel coronavirus disease (COVID-19) caused by the syndrome
coronavirus 2 (SARS-CoV-2) strain has spread widely around the world and has become a …
coronavirus 2 (SARS-CoV-2) strain has spread widely around the world and has become a …
Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
Since the arrival of the novel Covid-19, several types of researches have been initiated for
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
its accurate prediction across the world. The earlier lung disease pneumonia is closely …
Real‑time COVID-19 diagnosis from X-Ray images using deep CNN and extreme learning machines stabilized by chimp optimization algorithm
T Hu, M Khishe, M Mohammadi, GR Parvizi… - … Signal Processing and …, 2021 - Elsevier
Real-time detection of COVID-19 using radiological images has gained priority due to the
increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two …
increasing demand for fast diagnosis of COVID-19 cases. This paper introduces a novel two …
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Skin cancer is one of the most widespread threats to human health worldwide. Therefore,
early-stage recognition and detection of these diseases are crucial for patients' lives …
early-stage recognition and detection of these diseases are crucial for patients' lives …
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images
This paper proposes a multichannel deep learning approach for lung disease detection
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
COVID-19 detection from CT scans using a two-stage framework
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …