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Editorial: Interpretable and explainable machine learning models in oncology

delete2023-03-22
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OA
AI
W
William T. Hrinivich
T
Tonghe Wang
C
Chunhao Wang *
DOI:10.3389/fonc.2023.1184428delete
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摘要

摘要

En
Keyword:
explainable machine learning
oncology
explainable deep learning
radiotherapy
MRI
outcome prediction
ultrasound
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Frontiers in Oncology 封面图
Frontiers in Oncology
IF:
3.3
论文数:
3.5W
被引数:
9.5W

机构

D
Duke University
学者数:
6.3W
论文数: 5.7W
被引数: 6.5W
J
Johns Hopkins University
学者数:
10.2W
论文数: 8.8W
被引数: 13.0W
M
Memorial Sloan Kettering Cancer Center
学者数:
3.4W
论文数: 2.4W
被引数: 4.6W
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引用论文

引用论文

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Machine learning applications in genetics and genomics
err2015-05-07
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errLibbrecht, Maxwell W.; Noble, William Stafford
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Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy基于机器学习的放射治疗毒性结果预测模型
err2020-06-05
err73
errOAAI
errIsaksson, Lars J.; Pepa, Matteo; Zaffaroni, Mattia; Marvaso, Giulia; Alterio, Daniela; Volpe, Stefania; Corrao, Giulia; Augugliaro, Matteo; Starzynska, Anna; Leonardi, Maria C.; Orecchia, Roberto; Jereczek-Fossa, Barbara A.
err分享
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