Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy
Author:
Funder
National Institutes of Health
Publisher
Elsevier BV
Subject
Cancer Research,Radiology Nuclear Medicine and imaging,Oncology,Radiation
Reference58 articles.
1. A Guide to Outcome Modeling in Radiotherapy and Oncology: Listening to the Data 1st ed;El Naqa,2018
2. Example applications in oncology;Friedland,2018
3. Estimating the need for radiotherapy for lung cancer: An evidence-based, epidemiologic approach;Tyldesley;Int J Radiat Oncol Biol Phys,2001
4. Dose-escalating conformal thoracic radiation therapy with induction and concurrent carboplatin/paclitaxel in unresectable stage IIIA/B nonsmall cell lung carcinoma: A modified phase I/II trial;Socinski;Cancer,2001
5. High-dose radiation improved local tumor control and overall survival in patients with inoperable/unresectable non-small-cell lung cancer: Long-term results of a radiation dose escalation study;Kong;Int J Radiat Oncol Biol Phys,2005
Cited by 32 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. Improved outcome models with denoising diffusion;Physica Medica;2024-03
2. The global research of artificial intelligence in lung cancer: a 20-year bibliometric analysis;Frontiers in Oncology;2024-02-02
3. Developing a clinical-radiomic prediction model for 3-year cancer-specific survival in lung cancer patients treated with stereotactic body radiation therapy;Journal of Cancer Research and Clinical Oncology;2024-01-26
4. Deep Learning–Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy;International Journal of Radiation Oncology*Biology*Physics;2023-12
5. Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET);Nuklearmedizin - NuclearMedicine;2023-11-23
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
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3