首页> 外文OA文献 >Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

【2h】

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

机译：自动评估胶质瘤负荷：一种完全自动化体积和竞相测量的深度学习算法

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
Ken Chang; Andrew L Beers; Harrison X Bai; James M Brown; K Ina Ly; Xuejun Li; Joeky T Senders; Vasileios K Kavouridis; Alessandro Boaro; Chang Su; Wenya Linda Bi; Otto Rapalino; Weihua Liao; Qin Shen; Hao Zhou; Bo Xiao; Yinyan Wang; Paul J Zhang; Marco C Pinho; Patrick Y Wen; Tracy T Batchelor; Jerrold L Boxerman; Omar Arnaout; Bruce R Rosen; Elizabeth R Gerstner; Li Yang; Raymond Y Huang; Jayashree Kalpathy-Cramer;
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. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement [J] . Chang Ken, Beers Andrew L., Bai Harrison X., Neuro-Oncology . 2019,第11期

机译：自动评估神经胶质瘤负担：用于全自动体积和二维测量的深度学习算法
2. Resources Required for Semi-Automatic Volumetric Measurements in Metastatic Chordoma: Is Potentially Improved Tumor Burden Assessment Worth the Time Burden? [J] . Fenerty Kathleen E., Patronas Nicholas J., Heery Christopher R., Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2016,第3期

机译：转移性脊索瘤半自动体积测量所需的资源：潜在改善的肿瘤负担评估值得吗？
3. Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm [J] . Buda Mateusz, Saha Ashirbani, Mazurowski Maciej A. Computers in Biology and Medicine . 2019,第期

机译：用深层学习算法自动提取较低级胶质瘤的基因组亚型的关系
4. A Survey of Deep Learning Based Fully Automatic Bone Age Assessment Algorithms [C] . Yang Jia, Hanrong Du, Haijuan Wang, International Conference on Pattern Recognition Workshops . 2021

机译：基于深度学习的全自动骨龄评估算法调查
5. Predicting Isocitrate Dehydrogenase 1 (IDH1) Mutation in Patients with Gliomas using a Novel Deep Learning Network [D] . Xiao, Haonan. 2019

机译：使用小说深入学习网络预测胶质瘤患者的异偶酯脱氢酶1（IDH1）突变
6. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement [O] . Ken Chang, Andrew L Beers, Harrison X Bai, 2019

机译：自动评估神经胶质瘤负担：用于全自动体积和二维测量的深度学习算法
7. A novel deep learning algorithm for the automatic detection of high-grade gliomas on t2-weighted magnetic resonance images. a preliminary machine learning study [O] . Mehmet Ali Atici, Seref Sagiroglu, Pinar Celtikci, 2019

机译：一种新型深度学习算法，用于在T2加权磁共振图像上自动检测高等胶质瘤。初步机器学习研究

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

著录项

引文网络

相似文献

相关主题

期刊订阅