The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review

Published:2018-06 Issue:3 Volume:7 Page:803-816
ISSN:2218-676X
Container-title:Translational Cancer Research
language:
Short-container-title:Transl. Cancer Res

Author:

Vial Alanna,Stirling David,Field Matthew,Ros Montserrat,Ritz Christian,Carolan Martin,Holloway Lois,Miller Alexis A.

Publisher

AME Publishing Company

Subject

Cancer Research,Radiology Nuclear Medicine and imaging,Oncology

Cited by 140 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cluster-based radiomics reveal spatial heterogeneity of bevacizumab response for treatment of radiotherapy-induced cerebral necrosis;Computational and Structural Biotechnology Journal;2024-12

2. A dual-radiomics model for overall survival prediction in early-stage NSCLC patient using pre-treatment CT images;Frontiers in Oncology;2024-08-14

3. The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment;Current Allergy and Asthma Reports;2024-07

4. Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis;Journal of Safety Science and Resilience;2024-07

5. Artificial Intelligence in Healthcare;Advances in Medical Technologies and Clinical Practice;2024-06-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP