Evaluation of non-Gaussian statistical properties in virtual breast phantoms [0.03%]
虚拟乳房体模的非高斯统计特性分析
Craig K Abbey,Predrag R Bakic,David D Pokrajac et al.
Craig K Abbey et al.
Images derived from a "virtual phantom" can be useful in characterizing the performance of imaging systems. This has driven the development of virtual breast phantoms implemented in simulation environments. In breast imaging, several such p...
Microaneurysms segmentation with a U-Net based on recurrent residual convolutional neural network [0.03%]
基于循环残差卷积神经网络的U形网络微动脉瘤分割方法研究
Caixia Kou,Wei Li,Wei Liang et al.
Caixia Kou et al.
Microaneurysms (MAs) play an important role in the diagnosis of clinical diabetic retinopathy at the early stage. Annotation of MAs manually by experts is laborious and so it is essential to develop automatic segmentation methods. Automatic...
Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI [0.03%]
多中心评估放射组学特征的可重复性和鉴别性 用于磁共振成像中外围带前列腺肿瘤的识别
Prathyush Chirra,Patrick Leo,Michael Yim et al.
Prathyush Chirra et al.
Recent advances in the field of radiomics have enabled the development of a number of prognostic and predictive imaging-based tools for a variety of diseases. However, wider clinical adoption of these tools is contingent on their generaliza...
Neural network training for cross-protocol radiomic feature standardization in computed tomography [0.03%]
基于神经网络的跨协议CT影像组学特征标准化研究
Vincent Andrearczyk,Adrien Depeursinge,Henning Müller
Vincent Andrearczyk
Radiomics has shown promising results in several medical studies, yet it suffers from a limited discrimination and informative capability as well as a high variation and correlation with the tomographic scanner types, pixel spacing, acquisi...
Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections [0.03%]
基于整体嵌套网络和短连接的前列腺全腺体及中央腺体MR图像全自动分割方法
Ruida Cheng,Nathan Lay,Holger R Roth et al.
Ruida Cheng et al.
Accurate and automated prostate whole gland and central gland segmentations on MR images are essential for aiding any prostate cancer diagnosis system. Our work presents a 2-D orthogonal deep learning method to automatically segment the who...
Predicting ischemic stroke tissue fate using a deep convolutional neural network on source magnetic resonance perfusion images [0.03%]
基于源头磁共振灌注图像的深度卷积神经网络预测缺血性卒中的组织结局
King Chung Ho,Fabien Scalzo,Karthik V Sarma et al.
King Chung Ho et al.
Predicting infarct volume from magnetic resonance perfusion-weighted imaging can provide helpful information to clinicians in deciding how aggressively to treat acute stroke patients. Models have been developed to predict tissue fate, yet t...
Channelized Hotelling observer correlation with human observers for low-contrast detection in liver CT images [0.03%]
基于肝CT图像中低对比度检测的通道化Hotelling观测试者与人的观测者的相关性研究
Alexandre Ba,Craig K Abbey,Damien Racine et al.
Alexandre Ba et al.
Task-based image quality procedures in CT that substitute a human observer with a model observer usually use single-slice images with uniform backgrounds from homogeneous phantoms. However, anatomical structures and inhomogeneities in organ...
Multiphysics modeling toward enhanced guidance in hepatic microwave ablation: a preliminary framework [0.03%]
一种用于肝脏微波消融的多功能建模指导方法：初步框架
Jarrod A Collins,Jon S Heiselman,Logan W Clements et al.
Jarrod A Collins et al.
We compare a surface-driven, model-based deformation correction method to a clinically relevant rigid registration approach within the application of image-guided microwave ablation for the purpose of demonstrating improved localization and...
Preclinical evaluation of an integrated robotic system for magnetic resonance imaging guided shoulder arthrography [0.03%]
磁共振成像引导肩关节造影的集成机器人系统临床前评估
Niravkumar Patel,Jiawen Yan,Reza Monfaredi et al.
Niravkumar Patel et al.
Shoulder arthrography is a diagnostic procedure which involves injecting a contrast agent into the joint space for enhanced visualization of anatomical structures. Typically, a contrast agent is injected under fluoroscopy or computed tomogr...
DeepQuantify: deep learning and quantification system of white blood cells in light microscopy images of injured skeletal muscles [0.03%]
基于深度学习的轻度光学显微图像白细胞定量系统
Yang Jiao,Barbara St Pierre Schneider,Emma Regentova et al.
Yang Jiao et al.
White blood cells (WBCs) are the most diverse types of cells observed in the healing process of injured skeletal muscles. In the recovery process, WBCs exhibit a dynamic cellular response and undergo multiple changes of the protein expressi...