Vision Transformers in medical computer vision—A contemplative retrospection
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …
contained within images, have evolved as one of the most contemporary and dominant …
Digital-Twin-Enabled IoMT system for surgical simulation using rAC-GAN
A digital-twin (DT)-enabled Internet of Medical Things (IoMT) system for telemedical
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …
Design and development of an indoor navigation system using denoising autoencoder based convolutional neural network for visually impaired people
A challenging area of research is the development of a navigation system for visually
impaired people in an indoor environment such as a railway station, commercial complex …
impaired people in an indoor environment such as a railway station, commercial complex …
Automated system for colon cancer detection and segmentation based on deep learning techniques
Colon cancer is one of the world's three most deadly and severe cancers. As with any
cancer, the key priority is early detection. Deep learning (DL) applications have recently …
cancer, the key priority is early detection. Deep learning (DL) applications have recently …
[HTML][HTML] PE-DeepNet: A deep neural network model for pulmonary embolism detection
D Lynch, M Suriya - International Journal of Intelligent Networks, 2022 - Elsevier
Abstract Machine learning in medical image processing has shown to be a useful way for
discovering patterns in both poorly labelled and unlabeled datasets. Venous …
discovering patterns in both poorly labelled and unlabeled datasets. Venous …
Conceptual semantic enhanced representation learning for event recognition in still images
R Luo, B Wang, Y Feng, Z Deng, X Zhong - Connection Science, 2022 - Taylor & Francis
Image event recognition is different from object recognition, behaviour recognition and
scene recognition. Event is a more advanced concept than object, behaviour and scene …
scene recognition. Event is a more advanced concept than object, behaviour and scene …
Enhanced Pulmonary Embolism Detection in CT Angiography Using Spectral ResNet Hyper Convolutional Neural Network
TR Jeyalakshmi, SM Karthik, S Karunya - SN Computer Science, 2024 - Springer
Blood clot in a lung blood artery causes pulmonary embolism (PE). This is diagnosed via
Computed Tomography and Angiography (CTPA) scans. CT pulmonary angiography-based …
Computed Tomography and Angiography (CTPA) scans. CT pulmonary angiography-based …
Diagnosis of Pulmonary Embolism from CT Pulmonary Angiogram by Using Deep Transfer Learning and Sobel Filter
Pulmonary embolism (PE) indicates a blood thrombus that travels toward the lungs and can
lead to significant morbidity and mortality. Thus, early diagnosis and treatments are crucial …
lead to significant morbidity and mortality. Thus, early diagnosis and treatments are crucial …
Electronic medical record classification method based on LSTM of text word features dimensionality reduction
X Yu, S Shen, P Chen, Z Liu - 2021 IEEE 21st International …, 2021 - ieeexplore.ieee.org
LSTM can effectively achieve text classification, but it cannot directly and specifically achieve
efficient classification of Electronic Medical Record (EMR). Therefore, we propose an EMR …
efficient classification of Electronic Medical Record (EMR). Therefore, we propose an EMR …
Deep Learning-based Predictive Maintenance for Industrial IoT Applications
Integrating Deep Learning-based Predictive Maintenance (DL-PM) in Industrial Internet of
Things (IoT) applications optimizes operational efficiency and reduces downtime. This …
Things (IoT) applications optimizes operational efficiency and reduces downtime. This …