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| Content Provider | frontiers |
|---|---|
| Author | Stenhouse, Kailyn Roumeliotis, Michael Ciunkiewicz, Philip Banerjee, Robyn Yanushkevich, Svetlana McGeachy, Philip |
| Abstract | Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical BrachytherapyName of all authors as they appear in the published original article (If correcting author names please put the correct spelling. If adding authors, please include additional authors.)Kailyn Stenhouse1, 2*, Michael Roumeliotis1, 2, 3, Philip Ciunkiewicz6, Robyn Banerjee3, 4, Svetlana Yanushkevich5, and Philip McGeachy1, 2, 3Affiliations of all authors as they appear in the published original version of the article (If correcting affiliations please put the correct version. If adding affiliations, please include additional affiliations).1Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada2Department of Medical Physics, Tom Baker Cancer Centre, Calgary, AB, Canada3Department of Oncology, University of Calgary, Calgary, AB, Canada4Department of Radiation Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada5Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada6Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada* Correspondence: Kailyn Stenhouse, kailyn.stenhouse@gmail.comKeywords: gynecologic brachytherapy, intracavitary brachytherapy (ICBT), high-dose-rate brachytherapy, radiation oncology, machine learning, decision-support toolsCorrigendum on: Stenhouse K, Roumeliotis M, Banerjee R, Yanushkevich S and McGeachy P (2021) Development of a Machine Learning... |
| ISSN | 2234943X |
| DOI | 10.3389/fonc.2021.730375 |
| Volume Number | 11 |
| Journal | Frontiers in Oncology |
| Language | English |
| Publisher Date | 2021-07-06 |
| Access Restriction | Open |
| Subject Keyword | Machine learning Gynecologic brachytherapy Intracavitary brachytherapy (ICBT) High-dose-rate brachytherapy Decision-support tools Radiation Oncology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cancer Research Oncology |
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