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.

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

Citation

Jun Deng, Issam El Naqa, Lei Xing , “Machine Learning with Radiation Oncology Big Data,” Open Educational Resource (OER) - USK Library, accessed June 25, 2024, http://uilis.usk.ac.id/oer/items/show/2915.

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