Yaqiong Wu,Xin Li
Yaqiong Wu
This study presents a novel approach to computing all intersections between two Bézier curves using cubic hybrid clipping. Each intersection is represented by two strip intervals that contain an intersection. In each step, one curve is bou...
Vector textures derived from higher order derivative domains for classification of colorectal polyps [0.03%]
基于高阶导数域的向量纹理鉴别结肠息肉分类
Weiguo Cao,Marc J Pomeroy,Zhengrong Liang et al.
Weiguo Cao et al.
Textures have become widely adopted as an essential tool for lesion detection and classification through analysis of the lesion heterogeneities. In this study, higher order derivative images are being employed to combat the challenge of the...
Xin Zhu,Yinling Qian,Qiong Wang et al.
Xin Zhu et al.
Deep simulations have gained widespread attention owing to their excellent acceleration performances. However, these methods cannot provide effective collision detection and response strategies. We propose a deep interactive physical simula...
Ebenezer Owusu,Justice Kwame Appati,Percy Okae
Ebenezer Owusu
Facial expression recognition (FER) has numerous applications in computer security, neuroscience, psychology, and engineering. Owing to its non-intrusiveness, it is considered a useful technology for combating crime. However, FER is plagued...
Analytical study of two feature extraction methods in comparison with deep learning methods for classification of small metal objects [0.03%]
两种特征提取方法与深度学习方法的分析比较研究及其在小金属物识别中的应用研究
Somaieh Amraee,Maryam Chinipardaz,Mohammadali Charoosaei
Somaieh Amraee
This paper addresses the efficiency of two feature extraction methods for classifying small metal objects including screws, nuts, keys, and coins: the histogram of oriented gradients (HOG) and local binary pattern (LBP). The desired feature...
Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images [0.03%]
订正：DCAU-Net：密集卷积注意力U形网络在颅内动脉瘤图像分割中的应用
Wenwen Yuan,Yanjun Peng,Yanfei Guo et al.
Wenwen Yuan et al.
Influence of postural changes on haemodynamics in internal carotid artery bifurcation aneurysm using numerical methods [0.03%]
数值方法研究体位改变对颈内动脉分叉部动脉瘤血流动力学的影响
Raghuvir Pai Ballambat,Mohammad Zuber,Shah Mohammed Abdul Khader et al.
Raghuvir Pai Ballambat et al.
Cerebral intracranial aneurysms are serious problems that can lead to stroke, coma, and even death. The effect of blood flow on cerebral aneurysms and their relationship with rupture are unknown. In addition, postural changes and their rele...
Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study [0.03%]
头颈部MRI影像组学特征的获取重复性研究：基于双三维序列多时间点扫描
Cindy Xue,Jing Yuan,Yihang Zhou et al.
Cindy Xue et al.
Radiomics has increasingly been investigated as a potential biomarker in quantitative imaging to facilitate personalized diagnosis and treatment of head and neck cancer (HNC), a group of malignancies associated with high heterogeneity. Howe...
DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images [0.03%]
密集卷积注意力U形网络：颅内动脉瘤图像分割方法
Wenwen Yuan,Yanjun Peng,Yanfei Guo et al.
Wenwen Yuan et al.
Segmentation of intracranial aneurysm images acquired using magnetic resonance angiography (MRA) is essential for medical auxiliary treatments, which can effectively prevent subarachnoid hemorrhages. This paper proposes an image segmentatio...
Preoperative prediction of lymph node metastasis using deep learning-based features [0.03%]
基于深度学习的特征进行术前淋巴结转移预测
Renee Cattell,Jia Ying,Lan Lei et al.
Renee Cattell et al.
Lymph node involvement increases the risk of breast cancer recurrence. An accurate non-invasive assessment of nodal involvement is valuable in cancer staging, surgical risk, and cost savings. Radiomics has been proposed to pre-operatively p...