Multimodal medical tensor fusion network-based DL framework for abnormality prediction from the radiology CXRs and clinical text reports [0.03%]
基于多模态医学张量融合网络的DL框架用于放射学CXRs和临床文本报告的异常预测
Shashank Shetty,Ananthanarayana V S,Ajit Mahale
Shashank Shetty
Pulmonary disease is a commonly occurring abnormality throughout this world. The pulmonary diseases include Tuberculosis, Pneumothorax, Cardiomegaly, Pulmonary atelectasis, Pneumonia, etc. A timely prognosis of pulmonary disease is essentia...
Aleka Melese Ayalew,Ayodeji Olalekan Salau,Yibeltal Tamyalew et al.
Aleka Melese Ayalew et al.
COVID-19 is a type of respiratory infection that primarily affects the lungs. Obtaining a chest X-ray is one of the most important steps in detecting and treating COVID-19 occurrences. Our study's goal is to detect COVID-19 from chest X-ray...
Statistical local descriptors for face recognition: a comprehensive study [0.03%]
面向人脸识别的统计局部描述子研究综述
Alaa Eleyan
Alaa Eleyan
The use of local statistical descriptors for image representation has emerged and gained a reputation as a powerful approach in the last couple of decades. Many algorithms have been proposed and applied, since then, in various application a...
An early prediction and classification of lung nodule diagnosis on CT images based on hybrid deep learning techniques [0.03%]
基于混合深度学习技术的CT图像肺结节诊断早期预测与分类
Vijay Kumar Gugulothu,S Balaji
Vijay Kumar Gugulothu
Detection of malignant lung nodules at an early stage may allow for clinical interventions that increase the survival rate of lung cancer patients. Using hybrid deep learning techniques to detect nodules will improve the sensitivity of lung...
Jing Xue,Wen Wu,Qingkai Cheng
Jing Xue
Affected by the COVID-19 epidemic, the final examinations at many universities and the recruitment interviews of enterprises were forced to be transferred to online remote video invigilation, which undoubtedly improves the space and possibi...
Practicality analysis of utilizing text-based CAPTCHA vs. graphic-based CAPTCHA authentication [0.03%]
基于文本的验证码与基于图像的验证码实用性的分析比较
Adnan Gutub,Nafisah Kheshaifaty
Adnan Gutub
CAPTCHA as "Completely Automated Public Turing test to tell Computers and Humans Apart" is becoming an essential tool to help reduce many automated security authentication attacks. This research focused on studying differences running text-...
A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform [0.03%]
基于支持向量机和提升小波变换的医学图像新型水印算法
Pabitra Pal,Partha Chowdhuri,Tapas Si
Pabitra Pal
Digital image watermarking has become a valuable tool for preventing unauthorized use and alteration of digital images due to technological advancements. A fundamental difficulty in digital image watermarking is to provide resilience agains...
A new multimedia cryptosystem using chaos, quaternion theory and modular arithmetic [0.03%]
一种基于混沌理论、四元数和模运算的多媒体密码系统
Mendez Luis,Ladino Daniel,Amaya Isabel et al.
Mendez Luis et al.
Based on the combination of quaternion numbers, residual matrices, and chaotic attractors, a new cryptosystem is proposed for multimedia processing files such as images and audio. The key employed in this encryption schema consists of an im...
Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms [0.03%]
基于胸部CT图像的COVID-19诊断的多分辨率分析：小波变换和轮廓变换
Lamiaa Abdel-Hamid
Lamiaa Abdel-Hamid
Chest computer tomography (CT) provides a readily available and efficient tool for COVID-19 diagnosis. Wavelet and contourlet transforms have the advantages of being localized in both space and time. In addition, multiresolution analysis al...
Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm [0.03%]
基于混合深度学习算法的胸部X光片肺部疾病自动分类
Abobaker Mohammed Qasem Farhan,Shangming Yang
Abobaker Mohammed Qasem Farhan
The chest X-ray images provide vital information about the congestion cost-effectively. We propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung disease classification from chest X-ray images. The model consists...