Machine Learning in the Nuclear Medicine: Part 1-Introduction
| dc.contributor.author | Uribe, Carlos F. | |
| dc.contributor.author | Mathotaarachchi, Sulantha | |
| dc.contributor.author | Gaudet, Vincent C. | |
| dc.contributor.author | Smith, Kenneth C. | |
| dc.contributor.author | Rosa-Neto, Pedro | |
| dc.contributor.author | Benard, Francois | |
| dc.contributor.author | Black, Sandra E. | |
| dc.contributor.author | Zukotynski, Katherine | |
| dc.date.accessioned | 2023-11-03T17:39:00Z | |
| dc.date.available | 2023-11-03T17:39:00Z | |
| dc.date.issued | 2019-04 | |
| dc.description | This research was originally published in JNM. Uribe, C.F., Mathotaarachchi, S., Gaudet, V., Smith, K.C, Rosa-Neto, P., Benard, F., Black, S.E. & Zukotynski, K. Machine Learning in Nuclear Medicine: Part 1 - Introduction. J Nucl Med. 2019;60:451-458. © SNMMI. | en |
| dc.description.abstract | This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when they can be helpful in nuclear medicine. Part 2 focuses on current contributions of ML to our field, addresses future expectations and limitations, and provides a critical appraisal of what ML can and cannot do. | en |
| dc.identifier.uri | https://doi.org/10.2967/jnumed.118.223495 | |
| dc.identifier.uri | http://hdl.handle.net/10012/20085 | |
| dc.language.iso | en | en |
| dc.publisher | Society of Nuclear Medicine and Molecular Imaging | en |
| dc.relation.ispartofseries | Journal of Nuclear Medicine;60(4) | |
| dc.subject | machine learning | en |
| dc.subject | artificial intelligence | en |
| dc.subject | nuclear medicine | en |
| dc.subject | algorithms | en |
| dc.title | Machine Learning in the Nuclear Medicine: Part 1-Introduction | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | Uribe, C. F., Mathotaarachchi, S., Gaudet, V., Smith, K. C., Rosa-Neto, P., Bénard, F., Black, S. E., & Zukotynski, K. (2019). Machine learning in nuclear medicine: Part 1—introduction. Journal of Nuclear Medicine, 60(4), 451–458. https://doi.org/10.2967/jnumed.118.223495 | en |
| uws.contributor.affiliation1 | Faculty of Engineering | en |
| uws.contributor.affiliation2 | Electrical and Computer Engineering | en |
| uws.peerReviewStatus | Reviewed | en |
| uws.scholarLevel | Faculty | en |
| uws.typeOfResource | Text | en |