首页> 外文OA文献 >Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network

【2h】

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network

机译：使用3D卷积神经网络的BRATS数据中胶质瘤和白质超萎缩的多疾病分割

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Jeffrey D. Rudie; David A. Weiss; Rachit Saluja; Andreas M. Rauschecker; Jiancong Wang; Leo Sugrue; Spyridon Bakas; John B. Colby;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks [J] . R. Guerrero, C. Qin, O. Oktay, NeuroImage: Clinical . 2018,第1期

机译：利用卷积神经网络对白质高信号和中风病灶进行分割和区分
2. Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology [J] . Rachmadi Muhammad Febrian, Valdes-Hernandez Maria del C., Agan Maria Leonora Fatimah, Computerized Medical Imaging and Graphics: The Official Jounal of the Computerized Medical Imaging Society . 2018,第期

机译：使用卷积神经网络与常规临床脑MRI中的全球空间信息进行白质超萎缩的分割，没有或轻度血管病理学
3. Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities [J] . Neurocomputing . 2020,第Apra7期

机译：深度卷积神经网络可准确分割和量化白质高信号
4. White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections [C] . Dakai Jin, Ziyue Xu, Adam P. Harrison, IEEE International Symposium on Biomedical Imaging . 2018

机译：使用完全卷积神经网络从T1和FLAIR图像中进行白质高强度分割，并增强残差连接
5. Association of White Matter Hyperintensities in Patients with Sudden Sensorineural Hearing Loss and Migraine Headaches [D] . Patel, Beenish. 2019

机译：患者突然感应性听力损失和偏头痛患者的白质超萎缩
6. Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network [O] . Jeffrey D. Rudie, David A. Weiss, Rachit Saluja, 2019

机译：使用3D卷积神经网络的BRATS数据中胶质瘤和白质超萎缩的多疾病分割
7. A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images [O] . L. Umapathy, G.G. Perez-Carrillo, M.B. Keerthivasan, 2021

机译：3D正交深度学习卷积神经网络的堆叠概括，改进了3D Flair图像的白质超收缩性检测

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network

著录项

引文网络

相似文献

相关主题

期刊订阅