Coronavirus disease 2019 (COVID-19): survival analysis using deep learning and Cox regression model [0.03%]
新型冠状病毒肺炎(COVID-19)的深度学习及Cox模型生存分析
Mostafa Atlam,Hanaa Torkey,Nawal El-Fishawy et al.
Mostafa Atlam et al.
Coronavirus (COVID-19) is one of the most serious problems that has caused stopping the wheel of life all over the world. It is widely spread to the extent that hospital places are not available for all patients. Therefore, most hospitals a...
A novel framework for rapid diagnosis of COVID-19 on computed tomography scans [0.03%]
一种基于CT扫描的新型冠状病毒肺炎快速诊断的新框架
Tallha Akram,Muhammad Attique,Salma Gul et al.
Tallha Akram et al.
Since the emergence of COVID-19, thousands of people undergo chest X-ray and computed tomography scan for its screening on everyday basis. This has increased the workload on radiologists, and a number of cases are in backlog. This is not on...
Prashant Shukla,Abhishek,Shekhar Verma et al.
Prashant Shukla et al.
In manifold learning, the intrinsic geometry of the manifold is explored and preserved by identifying the optimal local neighborhood around each observation. It is well known that when a Riemannian manifold is unfolded correctly, the observ...
Component-based face recognition using statistical pattern matching analysis [0.03%]
基于统计模型分析的部件人脸识别方法
Sushil Kumar Paul,Saida Bouakaz,Chowdhury Mofizur Rahman et al.
Sushil Kumar Paul et al.
The aim of this research is to develop a fusion concept to component-based face recognition algorithms for features analysis of binary facial components (BFCs), which are invariant to illumination, expression, pose variations and partial oc...
Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network [0.03%]
评估不同色度模型在使用生长神经气体网络检测和重建人脸和手的效果
Anastassia Angelopoulou,Jose Garcia-Rodriguez,Sergio Orts-Escolano et al.
Anastassia Angelopoulou et al.
Physical traits such as the shape of the hand and face can be used for human recognition and identification in video surveillance systems and in biometric authentication smart card systems, as well as in personal health care. However, the a...
Wei Sun,Nan Sun,Baolong Guo et al.
Wei Sun et al.
Considering the main disadvantage of the existing gaze point estimation methods which restrict user's head movement and have potential injury on eyes, we propose a gaze point estimation method based on facial normal and binocular vision. Fi...
Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm [0.03%]
基于随机稀疏和增强算法的三维磁共振图像海马自动化分割
Rosalia Maglietta,Nicola Amoroso,Marina Boccardi et al.
Rosalia Maglietta et al.
The automated identification of brain structure in Magnetic Resonance Imaging is very important both in neuroscience research and as a possible clinical diagnostic tool. In this study, a novel strategy for fully automated hippocampal segmen...
A systematic evaluation of the scale invariance of texture recognition methods [0.03%]
纹理识别方法尺度不变性的系统评估
Andreas Uhl,Georg Wimmer
Andreas Uhl
A large variety of well-known scale-invariant texture recognition methods is tested with respect to their scale invariance. The scale invariance of these methods is estimated by comparing the results of two test setups. In the first test se...
Oncel Tuzel,Lin Yang,Peter Meer et al.
Oncel Tuzel et al.
We describe a decision support system to distinguish among hematology cases directly from microscopic specimens. The system uses an image database containing digitized specimens from normal and four different hematologic malignancies. Initi...