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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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Abstract

Abstract

En
Keywords:
explainable machine learning
oncology
explainable deep learning
radiotherapy
MRI
outcome prediction
ultrasound
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Frontiers in Oncology cover
Frontiers in Oncology
IF:
3.3
Papers:
3.5W
Citations:
9.5W

Organization

D
Duke University
Scholars:
6.3W
Papers: 5.7W
Citations: 6.5W
J
Johns Hopkins University
Scholars:
10.2W
Papers: 8.8W
Citations: 13.0W
M
Memorial Sloan Kettering Cancer Center
Scholars:
3.4W
Papers: 2.4W
Citations: 4.6W
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