[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
Deep learning-accelerated computational framework based on physics informed neural network for the solution of linear elasticity
The paper presents an efficient and robust data-driven deep learning (DL) computational
framework developed for linear continuum elasticity problems. The methodology is based on …
framework developed for linear continuum elasticity problems. The methodology is based on …
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification
Electrocardiogram (ECG) is an effective non-invasive tool that can detect arrhythmias.
Recently, deep learning (DL) has been widely used in ECG classification algorithms …
Recently, deep learning (DL) has been widely used in ECG classification algorithms …
[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
However, existing methods are less accurate and prone to overlooking lesions during …
However, existing methods are less accurate and prone to overlooking lesions during …
Physics-aware deep learning framework for linear elasticity
AM Roy, R Bose - arXiv preprint arXiv:2302.09668, 2023 - arxiv.org
The paper presents an efficient and robust data-driven deep learning (DL) computational
framework developed for linear continuum elasticity problems. The methodology is based on …
framework developed for linear continuum elasticity problems. The methodology is based on …
Detection of Monkeypox from skin lesion images using deep learning networks and explainable artificial intelligence
Monkeypox (Mpox) resurfaced in January 2022 as a rare zoonotic disease that spreads to
many countries. Though the virus is not as dangerous as COVID-19, it has still caused many …
many countries. Though the virus is not as dangerous as COVID-19, it has still caused many …
A distance transformation deep forest framework with hybrid-feature fusion for cxr image classification
Detecting pneumonia, especially coronavirus disease 2019 (COVID-19), from chest X-ray
(CXR) images is one of the most effective ways for disease diagnosis and patient triage. The …
(CXR) images is one of the most effective ways for disease diagnosis and patient triage. The …
An automatic COVID-19 diagnosis from chest X-ray images using a deep trigonometric convolutional neural network
M Khishe - The Imaging Science Journal, 2023 - Taylor & Francis
With growing demands for diagnosing COVID-19 definite cases, employing radiological
images, ie, the chest X-ray, is becoming challenging. Deep Convolutional Neural Networks …
images, ie, the chest X-ray, is becoming challenging. Deep Convolutional Neural Networks …
OzNet: A new deep learning approach for automated classification of COVID-19 computed tomography scans
Coronavirus disease 2019 (COVID-19) is spreading rapidly around the world. Therefore, the
classification of computed tomography (CT) scans alleviates the workload of experts, whose …
classification of computed tomography (CT) scans alleviates the workload of experts, whose …
COVID-19 diagnosis system based on chest X-ray images using optimized convolutional neural network
MY Chen, PR Chiang - ACM Transactions on Sensor Networks, 2023 - dl.acm.org
It is worth noting that this 21st century has experienced so many economic, social, cultural
and political turbulences throughout the world. The 2019 novel coronavirus (COVID-19) …
and political turbulences throughout the world. The 2019 novel coronavirus (COVID-19) …