Machine Learning with Radiation Oncology Big Data
Dublin Core
Title
Machine Learning with Radiation Oncology Big Data
Subject
Radiation Oncology
Description
Half of all cancer patients may receive radiotherapy as part of their treatment. With the wealth of diverse data generated every day in the clinic, the radiation oncology community possesses a unique advantage in harnessing these massive data with the predictive power of machine learning methods for the benefit of millions of cancer patients undergoing radiotherapy worldwide. In this Research Topic “Machine Learning with Radiation Oncology Big Data,” a wide range of clinical applications involving various machine learning algorithms have been described and demonstrated, with the hope of ushering in more widespread applications of artificial intelligence in medicine, particularly in cancer radiotherapy in order to achieve a truly individualized radiation oncology
and an evidence-based learning healthcare system.
and an evidence-based learning healthcare system.
Creator
Jun Deng, Issam El Naqa, Lei Xing
Source
https://www.frontiersin.org/research-topics/6126/machine-learning-with-radiation-oncology-big-data
Publisher
Frontiers Media SA
Date
2019
Contributor
Baihaqi
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Jun Deng, Issam El Naqa, Lei Xing , “Machine Learning with Radiation Oncology Big Data,” Open Educational Resource (OER) - USK Library, accessed November 30, 2023, http://uilis.usk.ac.id/oer/items/show/2915.