Monkeypox virus detection using pre-trained deep learning-based approaches
Monkeypox virus is emerging slowly with the decline of COVID-19 virus infections around
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
Fruit classification using attention-based MobileNetV2 for industrial applications
Recent deep learning methods for fruits classification resulted in promising performance.
However, these methods are with heavy-weight architectures in nature, and hence require a …
However, these methods are with heavy-weight architectures in nature, and hence require a …
Covid-19 imaging tools: How big data is big?
KC Santosh, S Ghosh - Journal of Medical Systems, 2021 - Springer
In this paper, considering year 2020 and Covid-19, we analyze medical imaging tools and
their performance scores in accordance with the dataset size and their complexity. For this …
their performance scores in accordance with the dataset size and their complexity. For this …
Automated detection of COVID-19 through convolutional neural network using chest x-ray images
The COVID-19 epidemic has a catastrophic impact on global well-being and public health.
More than 27 million confirmed cases have been reported worldwide until now. Due to the …
More than 27 million confirmed cases have been reported worldwide until now. Due to the …
RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases
Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung
diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more …
diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more …
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection
Chest X-ray (CXR) images have been one of the important diagnosis tools used in the
COVID-19 disease diagnosis. Deep learning (DL)-based methods have been used heavily …
COVID-19 disease diagnosis. Deep learning (DL)-based methods have been used heavily …
Self-supervised transfer learning framework driven by visual attention for benign–malignant lung nodule classification on chest CT
Lung cancer is one of the most fatal malignant diseases, which poses an acute menace to
human health and life. The accurate differential diagnosis of lung nodules is a vital step in …
human health and life. The accurate differential diagnosis of lung nodules is a vital step in …
[HTML][HTML] New optimized deep learning application for COVID-19 detection in chest X-ray images
Due to false negative results of the real-time Reverse Transcriptase-Polymerase Chain
Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) …
Reaction (RT-PCR) test, the complemental practices such as computed tomography (CT) …
ADA‐COVID: Adversarial Deep Domain Adaptation‐Based Diagnosis of COVID‐19 from Lung CT Scans Using Triplet Embeddings
Rapid diagnosis of COVID‐19 with high reliability is essential in the early stages. To this
end, recent research often uses medical imaging combined with machine vision methods to …
end, recent research often uses medical imaging combined with machine vision methods to …
Accurate and intelligent diagnosis of pediatric pneumonia using X-ray images and blood testing data
Computer-aided diagnosis (CAD) methods such as the X-rays-based method is one of the
cheapest and safe alternative options to diagnose the disease compared to other …
cheapest and safe alternative options to diagnose the disease compared to other …