首页> 外文OA文献 >Prediction of Gleason Grade Group of Prostate Cancer on Multiparametric MRI using Deep Machine Learning Models

【2h】

Prediction of Gleason Grade Group of Prostate Cancer on Multiparametric MRI using Deep Machine Learning Models

机译：利用深机械学习模型预测多球癌前列腺癌的预测

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
Weiwei Zong; Joon Lee; Milan Pantelic; Ning Wen;
展开▼
作者单位

展开▼
年度 2020
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. Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade [J] . Aradhana M. Venkatesan, Eniola Mudairu-Dawodu, Cihan Duran, Cancer Imaging . 2021,第a期

机译：使用多体MRI检测复发前列腺癌，PSA和GLEASEAS等级的影响
2. Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-Support Models [J] . Hailang Liu, Kun Tang, Ejun Peng, Cancer Management and Research . 2020,第3期

机译：采用机器学习辅助决策支持模型预测自由基前列腺切除术中活检GLEASE级群的前列腺癌升级
3. Multiparametric 3T MRI for the prediction of pathological downgrading after radical prostatectomy in patients with biopsy-proven Gleason score 3 + 4 prostate cancer [J] . GondoT., HricakH., SalaE., European radiology . 2014,第12期

机译：多参数3T MRI预测经活检证实的Gleason评分3 + 4前列腺癌患者行根治性前列腺切除术后的病理学恶化
4. Automated Gleason grading of prostate cancers via deep learning in label-free multiphoton microscopic images [C] . Jianyong Cai, Qinqin Yang, Zhexin Xu, Conference on Multiphoton Microscopy in the Biomedical Sciences . 2020

机译：通过深入学习在无标签的多光子显微图像中自动化前列腺癌的自动化癌症
5. Detection of Prostate Cancer in Patch-Level Gleason Grading Using Deep Learning [D] . Tan, Wenhan. 2021

机译：深入学习检测贴片水平GLEASES分级中的前列腺癌
6. Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021 11 335 [O] . Francesco Gentile, Matteo Ferro, Bartolomeo Della Ventura, 2021

机译：回复jue等人。 MRI的价值改善识别高档前列腺癌的深度学习模型。评论Gentile等人。通过在深层学习模型中结合不同PSA分子形式和PSA密度来优化高级前列腺癌的优化鉴定。诊断202111335
7. Predicting Prostate Cancer Upgrading of Biopsy Gleason Grade Group at Radical Prostatectomy Using Machine Learning-Assisted Decision-support Models [O] . Hailang Liu, Kun Tang, Ejun Peng, 2020

机译：采用机器学习辅助决策支持模型预测自由基前列腺切除术中活检GLEASE级群的前列腺癌升级

Prediction of Gleason Grade Group of Prostate Cancer on Multiparametric MRI using Deep Machine Learning Models

著录项

引文网络

相似文献

相关主题

期刊订阅