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Machine Learning in Neurooncology Imaging: From Study Request to Diagnosis and Treatment
- Source :
- AJR. American journal of roentgenology. 212(1)
- Publication Year :
- 2018
-
Abstract
- Machine learning has potential to play a key role across a variety of medical imaging applications. This review seeks to elucidate the ways in which machine learning can aid and enhance diagnosis, treatment, and follow-up in neurooncology.Given the rapid pace of development in machine learning over the past several years, a basic proficiency of the key tenets and use cases in the field is critical to assessing potential opportunities and challenges of this exciting new technology.
- Subjects :
- business.industry
Brain Neoplasms
Neurooncology
Neuroimaging
General Medicine
Machine learning
computer.software_genre
030218 nuclear medicine & medical imaging
Variety (cybernetics)
Machine Learning
03 medical and health sciences
0302 clinical medicine
030220 oncology & carcinogenesis
Key (cryptography)
Medical imaging
Medicine
Humans
Radiology, Nuclear Medicine and imaging
Artificial intelligence
business
computer
Algorithms
Subjects
Details
- ISSN :
- 15463141
- Volume :
- 212
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- AJR. American journal of roentgenology
- Accession number :
- edsair.doi.dedup.....983f24ad99e5956ca707906444c40425