A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images [0.03%]
一种应用于数字病理图像核分割的分辨率自适应深度分层(RADHICAL)学习方案
Andrew Janowczyk,Scott Doyle,Hannah Gilmore et al.
Andrew Janowczyk et al.
Deep learning (DL) has recently been successfully applied to a number of image analysis problems. However, DL approaches tend to be inefficient for segmentation on large image data, such as high-resolution digital pathology slide images. Fo...
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks [0.03%]
基于深度卷积神经网络的间质性肺病CT衰减模式的整体分类方法
Mingchen Gao,Ulas Bagci,Le Lu et al.
Mingchen Gao et al.
Interstitial lung diseases (ILD) involve several abnormal imaging patterns observed in computed tomography (CT) images. Accurate classification of these patterns plays a significant role in precise clinical decision making of the extent and...
Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study [0.03%]
基于患者的血流描述符和下肢外周动脉疾病中的归一化壁指数的初步研究
Jaykrishna Singh,Gerd Brunner,Joel D Morrisett et al.
Jaykrishna Singh et al.
Background and aims: MRI-based hemodynamics have been applied to study the relationship between time-averaged wall shear stresses (TAWSS), oscillatory shear index (OSI) and atherosclerotic lesions in the coronary arteries...
Patient-specific coronary blood supply territories for quantitative perfusion analysis [0.03%]
基于患者的冠状动脉血供区分割方法及心肌灌注量化分析
Constantine Zakkaroff,John D Biglands,John P Greenwood et al.
Constantine Zakkaroff et al.
Myocardial perfusion imaging, coupled with quantitative perfusion analysis, provides an important diagnostic tool for the identification of ischaemic heart disease caused by coronary stenoses. The accurate mapping between coronary anatomy a...
Subject-Specific Biomechanical Modelling of the Oropharynx: Towards Speech Production [0.03%]
咽部生物力学模型在言语产生中的应用研究
Biomechanical models of the oropharynx are beneficial to treatment planning of speech impediments by providing valuable insight into the speech function such as motor control. In this paper, we develop a subject-specific model of the oropha...
Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms [0.03%]
基于多尺度局部Basic图像特征直方图的相位对比显微镜图像分割方法
N Jaccard,N Szita,L D Griffin
N Jaccard
Phase contrast microscopy (PCM) is routinely used for the inspection of adherent cell cultures in all fields of biology and biomedicine. Key decisions for experimental protocols are often taken by an operator based on typically qualitative ...
Jiun-Shyan Chen,Ramya Rao Basava,Yantao Zhang et al.
Jiun-Shyan Chen et al.
This paper introduces the meshfree Reproducing Kernel Particle Method (RKPM) for 3D image-based modeling of skeletal muscles. This approach allows for construction of simulation model based on pixel data obtained from medical images. The ma...
Relative accuracy of spin-image-based registration of partial capitate bones in 4DCT of the wrist [0.03%]
基于手指骨4DCT的局部小头骨的旋转图像配准的相对精度
Ryan Breighner,David R Holmes rd,Shuai Leng et al.
Ryan Breighner et al.
In image-based biomechanical analyses, registration transformations are the data of interest. In dynamic 4DCT imaging the capitate is often partially imaged. While alignment of incomplete objects poses a significant registration challenge, ...
A High-resolution Atlas and Statistical Model of the Vocal Tract from Structural MRI [0.03%]
基于结构磁共振的声道高清图谱及其统计模型
Jonghye Woo,Junghoon Lee,Emi Z Murano et al.
Jonghye Woo et al.
Magnetic resonance imaging (MRI) is an essential tool in the study of muscle anatomy and functional activity in the tongue. Objective assessment of similarities and differences in tongue structure and function has been performed using unnor...
Bryan Gick,Peter Anderson,Hui Chen et al.
Bryan Gick et al.
A finite element method (FEM) based numerical model of upper airway structures (jaw, tongue, maxilla, soft palate) was implemented to observe interactions between the soft palate and tongue, and in particular to distinguish the contribution...