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...
SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features [0.03%]
基于统计图像特征的藏红花掺假预测的集成方法SaffNet
Junaid Amin,Arvind Selwal,Ambreen Sabha
Junaid Amin
Saffron is one of the costlier spices that are cultivated in specific regions of the world. Due to its restricted accessibility and more popularity, eventually saffron adulteration is one of the concerning issues in the recent times. It bec...
Optimizing healthcare system by amalgamation of text processing and deep learning: a systematic review [0.03%]
基于文本处理和深度学习的医疗保健系统的优化：系统综述
Somiya Rani,Amita Jain
Somiya Rani
The explosion of clinical textual data has drawn the attention of researchers. Owing to the abundance of clinical data, it is becoming difficult for healthcare professionals to take real-time measures. The tools and methods are lacking when...
Automatic diagnosis of COVID-19 related respiratory diseases from speech [0.03%]
基于语音的新冠肺炎相关呼吸疾病自动诊断方法
Kushan Shekhar,Nagaratna B Chittaragi,Shashidhar G Koolagudi
Kushan Shekhar
In this work, an attempt is made to propose an intelligent and automatic system to recognize COVID-19 related illnesses from mere speech samples by using automatic speech processing techniques. We used a standard crowd-sourced dataset which...
Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review [0.03%]
用于大流行病检测和预测的深度学习技术：系统文献综述
Sunday Adeola Ajagbe,Matthew O Adigun
Sunday Adeola Ajagbe
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in the timely detection of any infectious disease (IDs) and is essential to the management of diseases and the prediction of future occurrences. Many sci...