Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features [0.03%]
基于预训练网络和特征集合的肺结节CT图像自动分类方法研究
Thiago Lima,Daniel Luz,Antonio Oseas et al.
Thiago Lima et al.
Lung cancer has the highest incidence in the world. The standard tests for its diagnostics are medical imaging exams, sputum cytology, and lung biopsy. Computed Tomography (CT) of the chest plays an essential role in the early detection of ...
Gender impact on STEM online learning- a correlational study of gender, personality traits and learning styles in relation to different online teaching modalities [0.03%]
性别对STEM在线学习的影响——一项关于性别、人格特征和学习风格与不同在线教学模式之间关系的相关性研究
Ermira Idrizi,Sonja Filiposka,Vladimir Trajkovikj
Ermira Idrizi
STEM (science, technology, engineering and mathematics) education benefits both individuals and society. It supports individuals by increasing their critical-thinking skills, encouraging creativity, as well as providing a basis for new inve...
Smart healthcare system using integrated and lightweight ECC with private blockchain for multimedia medical data processing [0.03%]
基于集成且轻量级的ECC与私有区块链的多媒体医疗数据处理智能医疗系统
Hemant B Mahajan,Aparna A Junnarkar
Hemant B Mahajan
Cloud-based Healthcare 4.0 systems have research challenges with secure medical data processing, especially biomedical image processing with privacy protection. Medical records are generally text/numerical or multimedia. Multimedia data inc...
Fully convolutional network for automated detection and diagnosis of mammographic masses [0.03%]
基于全卷积网络的乳腺X线片肿块自动检测与诊断方法
Sujata Kulkarni,Rinku Rabidas
Sujata Kulkarni
Breast cancer, though rare in male, is very frequent in female and has high mortality rate which can be reduced if detected and diagnosed at the early stage. Thus, in this paper, deep learning architecture based on U-Net is proposed for the...
Deep learning algorithm performance evaluation in detection and classification of liver disease using CT images [0.03%]
基于CT图像的肝脏疾病的检测与分类的深度学习算法性能评估
R V Manjunath,Anshul Ghanshala,Karibasappa Kwadiki
R V Manjunath
To diagnose the liver diseases computed tomography images are used. Most of the time even experienced radiologists find it very tough to note the type, size, and severity of the tumor from computed tomography images due to various complexit...
Multi-camera BEV video-surveillance system for efficient monitoring of social distancing [0.03%]
一种高效的多摄像机BEV视距监控系统以监测社交疏离状况
David Montero,Nerea Aranjuelo,Peter Leskovsky et al.
David Montero et al.
The current sanitary emergency situation caused by COVID-19 has increased the interest in controlling the flow of people in indoor infrastructures, to ensure compliance with the established security measures. Top view camera-based solutions...
Face mask effects on speaker verification performance in the presence of noise [0.03%]
噪声环境下说话人验证的口罩效应
Khamis A Al-Karawi
Khamis A Al-Karawi
Due to its spread via physical contact and the regulations on wearing face masks, COVID-19 has resulted in tough challenges for speaker recognition. Masks may aid in preventing COVID-19 transmission, although the implications of the mask on...
COVID-19 prediction based on hybrid Inception V3 with VGG16 using chest X-ray images [0.03%]
基于混合Inception V3与VGG16的胸部X光片新冠肺炎疫情预测模型
K Srinivas,R Gagana Sri,K Pravallika et al.
K Srinivas et al.
The Corona Virus was first started in the Wuhan city, China in December of 2019. It belongs to the Coronaviridae family, which can infect both animals and humans. The diagnosis of coronavirus disease-2019 (COVID-19) is typically detected by...
Robo-vision! 3D mesh generation of a scene for a robot for planar and non-planar complex objects [0.03%]
机器人罗โบ维申！用于平面和非平面复杂对象的场景三维网格生成
Swapna Agarwal,Soumyadip Maity,Hrishav Bakul Barua et al.
Swapna Agarwal et al.
This paper presents a novel architecture to generate a world model in terms of mesh from a continuous image stream with depth information extracted from a robot's ego-vision camera. We propose two algorithms for planar and non-planar mesh g...
Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system [0.03%]
针对基于深度学习的COVID-19口罩佩戴检测系统的无目标白盒对抗攻击
Burhan Ul Haque Sheikh,Aasim Zafar
Burhan Ul Haque Sheikh
The face mask detection system has been a valuable tool to combat COVID-19 by preventing its rapid transmission. This article demonstrated that the present deep learning-based face mask detection systems are vulnerable to adversarial attack...