Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
A survey on deep learning applied to medical images: from simple artificial neural networks to generative models
P Celard, EL Iglesias, JM Sorribes-Fdez… - Neural Computing and …, 2023 - Springer
Deep learning techniques, in particular generative models, have taken on great importance
in medical image analysis. This paper surveys fundamental deep learning concepts related …
in medical image analysis. This paper surveys fundamental deep learning concepts related …
Generative adversarial networks in medical image segmentation: A review
S Xun, D Li, H Zhu, M Chen, J Wang, J Li… - Computers in biology …, 2022 - Elsevier
Abstract Purpose Since Generative Adversarial Network (GAN) was introduced into the field
of deep learning in 2014, it has received extensive attention from academia and industry …
of deep learning in 2014, it has received extensive attention from academia and industry …
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
NS Shaik, TK Cherukuri - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
Utilizing convolutional neural networks to classify monkeypox skin lesions
Monkeypox is a rare viral disease that can cause severe illness in humans, presenting with
skin lesions and rashes. However, accurately diagnosing monkeypox based on visual …
skin lesions and rashes. However, accurately diagnosing monkeypox based on visual …
Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients
P Subramani, SK, P BD - Personal and ubiquitous computing, 2023 - Springer
Abstract Many Coronavirus disease 2019 (COVID-19) and post-COVID-19 patients
experience muscle fatigues. Early detection of muscle fatigue and muscular paralysis helps …
experience muscle fatigues. Early detection of muscle fatigue and muscular paralysis helps …
A novel chaos-based privacy-preserving deep learning model for cancer diagnosis
Early cancer identification is regarded as a challenging problem in cancer prevention for the
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
Artificial intelligence and blockchain: A review
AA Hussain, F Al‐Turjman - Transactions on emerging …, 2021 - Wiley Online Library
It is irrefutable that blockchain and artificial intelligence (AI) paradigms are spreading at an
incredible rate. The two paradigms have distinctive level of innovative nature and …
incredible rate. The two paradigms have distinctive level of innovative nature and …
[HTML][HTML] Optimization and fine-tuning of DenseNet model for classification of COVID-19 cases in medical imaging
T Chauhan, H Palivela, S Tiwari - International Journal of Information …, 2021 - Elsevier
It's been more than a year that the entire world is fighting against COVID-19 pandemic.
Starting from the Wuhan city in China, COVID-19 has conquered the entire world with its …
Starting from the Wuhan city in China, COVID-19 has conquered the entire world with its …
Artificial intelligence-driven assessment of radiological images for COVID-19
Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …