A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Y Gu, J Chi, J Liu, L Yang, B Zhang, D Yu… - Computers in biology …, 2021 - Elsevier
Lung cancer has one of the highest mortalities of all cancers. According to the National Lung
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Screening Trial, patients who underwent low-dose computed tomography (CT) scanning …
Digital image watermarking using deep learning: A survey
Lately, a lot of attention has been paid to securing the ownership rights of digital images.
The expanding usage of the Internet causes several problems, including data piracy and …
The expanding usage of the Internet causes several problems, including data piracy and …
Modality specific U-Net variants for biomedical image segmentation: a survey
With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …
neural network, residual neural network, adversarial network; U-Net architectures are most …
[HTML][HTML] A survey on GANs for computer vision: Recent research, analysis and taxonomy
In the last few years, there have been several revolutions in the field of deep learning,
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …
Human emotion recognition based on facial expressions via deep learning on high-resolution images
Y Said, M Barr - Multimedia Tools and Applications, 2021 - Springer
Detecting human emotion based on facial expression is considered a hard task for the
computer vision community because of many challenges such as the difference of face …
computer vision community because of many challenges such as the difference of face …
Traffic signs detection for real-world application of an advanced driving assisting system using deep learning
Recent advanced driving systems are used as luxury tools to handle a difficult or repetitive
task. One of the most important tasks is traffic signs detection that provides the driver with a …
task. One of the most important tasks is traffic signs detection that provides the driver with a …
Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people
Indoor object detection in real scene presents a challenging computer vision task; it is also a
key component of an ICT autonomous displacement assistance of Visually Impaired People …
key component of an ICT autonomous displacement assistance of Visually Impaired People …
A convolutional neural network to perform object detection and identification in visual large-scale data
In recent years, big data became a hard challenge. Analyzing big data needs a lot of speed
precision combination. In this article, we describe a deep learning-based method to deal …
precision combination. In this article, we describe a deep learning-based method to deal …
Pedestrian detection based on light-weighted separable convolution for advanced driver assistance systems
R Ayachi, Y Said, A Ben Abdelaali - Neural Processing Letters, 2020 - Springer
The growth in the number of vehicles in the world makes it hard to safely share the
environment with pedestrians. Pedestrian's safety is an important task that needs to be …
environment with pedestrians. Pedestrian's safety is an important task that needs to be …
Advancing Network Security with AI: SVM-Based Deep Learning for Intrusion Detection
With the rapid growth of social media networks and internet accessibility, most businesses
are becoming vulnerable to a wide range of threats and attacks. Thus, intrusion detection …
are becoming vulnerable to a wide range of threats and attacks. Thus, intrusion detection …