Guideline-based learning for standard plane extraction in 3-D echocardiography [0.03%]
基于指南的3D心脏超声标准切面学习方法
Peifei Zhu,Zisheng Li
Peifei Zhu
The extraction of six standard planes in 3-D cardiac ultrasound plays an important role in clinical examination to analyze cardiac function. A guideline-based learning method for efficient and accurate standard plane extraction is proposed....
MRI-based pseudo CT synthesis using anatomical signature and alternating random forest with iterative refinement model [0.03%]
基于解剖特征的交替随机森林和迭代细化模型的 MRI 至伪 CT 合成方法
Yang Lei,Jiwoong Jason Jeong,Tonghe Wang et al.
Yang Lei et al.
We develop a learning-based method to generate patient-specific pseudo computed tomography (CT) from routinely acquired magnetic resonance imaging (MRI) for potential MRI-based radiotherapy treatment planning. The proposed pseudo CT (PCT) s...
Joseph J Foy,Kayla R Robinson,Hui Li et al.
Joseph J Foy et al.
Given the increased need for consistent quantitative image analysis, variations in radiomics feature calculations due to differences in radiomics software were investigated. Two in-house radiomics packages and two freely available radiomics...
Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy [0.03%]
基于薄血膜显微镜的疟原虫检测及人和小鼠红细胞计数
Mahdieh Poostchi,Ilker Ersoy,Katie McMenamin et al.
Mahdieh Poostchi et al.
Despite the remarkable progress that has been made to reduce global malaria mortality by 29% in the past 5 years, malaria is still a serious global health problem. Inadequate diagnostics is one of the major obstacles in fighting the disease...
Image-based assessment of uncertainty in quantification of carotid lumen [0.03%]
基于图像的颈动脉管腔量化不确定性的评估
Lilli Kaufhold,Andreas Harloff,Christian Schumann et al.
Lilli Kaufhold et al.
Measurements of the vessel lumen diameter are often used to determine the degree of atherosclerotic disease in carotid arteries. However, quantification results vary with imaging technique and acquisition settings. We aim at providing a too...
In vivo modeling of interstitial pressure in a porcine model: approximation of poroelastic properties and effects of enhanced anatomical structure modeling [0.03%]
基于猪模型的体内组织间压建模：近似描述渗流弹性性质及增强解剖结构模拟的影响
Saramati Narasimhan,Jared A Weis,Hernán F J González et al.
Saramati Narasimhan et al.
The purpose of this investigation is to test whether a poroelastic model with enhanced structure can capture in vivo interstitial pressure dynamics in a brain undergoing mock surgical loads. Using interstitial pressure data from a porcine s...
Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography [0.03%]
胸部CT中自动检测运动伪影对冠状钙化评分的影响
Jurica Šprem,Bob D de Vos,Nikolas Lessmann et al.
Jurica Šprem et al.
The amount of coronary artery calcification (CAC) quantified in computed tomography (CT) scans enables prediction of cardiovascular disease (CVD) risk. However, interscan variability of CAC quantification is high, especially in scans made w...
Recurrence analysis on prostate cancer patients with Gleason score 7 using integrated histopathology whole-slide images and genomic data through deep neural networks [0.03%]
基于组织病理学全片图像和基因组数据的深层神经网络前列腺癌 Gleason分级为 7 分患者的复发分析
Jian Ren,Kubra Karagoz,Michael L Gatza et al.
Jian Ren et al.
Prostate cancer is the most common nonskin-related cancer, affecting one in seven men in the United States. Gleason score, a sum of the primary and secondary Gleason patterns, is one of the best predictors of prostate cancer outcomes. Recen...
Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparison [0.03%]
乳腺X线片微钙化簇的计算插入：与原生簇的区分及计算机辅助检测比较
Zahra Ghanian,Aria Pezeshk,Nicholas Petrick et al.
Zahra Ghanian et al.
Mammographic computer-aided detection (CADe) devices are typically first developed and assessed for a specific "original" acquisition system. When developers are ready to apply their CADe device to a mammographic acquisition system, they ty...
Segmentation of biological images containing multitarget labeling using the jelly filling framework [0.03%]
基于夹心模型的多标记生物图像分割方法
Neeraj J Gadgil,Paul Salama,Kenneth W Dunn et al.
Neeraj J Gadgil et al.
Biomedical imaging when combined with digital image analysis is capable of quantitative morphological and physiological characterizations of biological structures. Recent fluorescence microscopy techniques can collect hundreds of focal plan...