A comprehensive survey on multimodal medical signals fusion for smart healthcare systems
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …
the health and well-being of millions of people worldwide. Structural and functional …
CCTSDB 2021: a more comprehensive traffic sign detection benchmark
J Zhang, X Zou, LD Kuang, J Wang… - Human-centric …, 2022 - centaur.reading.ac.uk
Traffic signs are one of the most important information that guide cars to travel, and the
detection of traffic signs is an important component of autonomous driving and intelligent …
detection of traffic signs is an important component of autonomous driving and intelligent …
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
SH Wang, VV Govindaraj, JM Górriz, X Zhang… - Information …, 2021 - Elsevier
Abstract (Aim) COVID-19 is an infectious disease spreading to the world this year. In this
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
Improved breast cancer classification through combining graph convolutional network and convolutional neural network
Aim In a pilot study to improve detection of malignant lesions in breast mammograms, we
aimed to develop a new method called BDR-CNN-GCN, combining two advanced neural …
aimed to develop a new method called BDR-CNN-GCN, combining two advanced neural …
[HTML][HTML] Facial expression recognition via ResNet-50
B Li, D Lima - International Journal of Cognitive Computing in …, 2021 - Elsevier
As one of the most important directions in the field of computer vision, facial emotion
recognition plays an important role in people's daily work and life. Human emotion …
recognition plays an important role in people's daily work and life. Human emotion …
An overview of deep learning methods for multimodal medical data mining
Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …
success of these methods, many researchers have used deep learning algorithms in …
Artificial intelligence-based methods for fusion of electronic health records and imaging data
Healthcare data are inherently multimodal, including electronic health records (EHR),
medical images, and multi-omics data. Combining these multimodal data sources …
medical images, and multi-omics data. Combining these multimodal data sources …
A heterogeneously integrated spiking neuron array for multimode‐fused perception and object classification
Multimode‐fused sensing in the somatosensory system helps people obtain comprehensive
object properties and make accurate judgments. However, building such multisensory …
object properties and make accurate judgments. However, building such multisensory …
Causal knowledge fusion for 3D cross-modality cardiac image segmentation
Abstract Three-dimensional (3D) cross-modality cardiac image segmentation is critical for
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …