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D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125592/ http://dx.doi.org/10.1097/01.GOX.0000935148.34989.cf |
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author | Chwa, Emily S. Harada, Toshinobu Yamada, Taiki Otsuda, Saki Allison, Sophia Yamada, Akira |
author_facet | Chwa, Emily S. Harada, Toshinobu Yamada, Taiki Otsuda, Saki Allison, Sophia Yamada, Akira |
author_sort | Chwa, Emily S. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10125592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-101255922023-04-26 D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery Chwa, Emily S. Harada, Toshinobu Yamada, Taiki Otsuda, Saki Allison, Sophia Yamada, Akira Plast Reconstr Surg Glob Open AAPS 2023 Meeting Abstract Supplement Lippincott Williams & Wilkins 2023-04-26 /pmc/articles/PMC10125592/ http://dx.doi.org/10.1097/01.GOX.0000935148.34989.cf Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | AAPS 2023 Meeting Abstract Supplement Chwa, Emily S. Harada, Toshinobu Yamada, Taiki Otsuda, Saki Allison, Sophia Yamada, Akira D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery |
title | D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery |
title_full | D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery |
title_fullStr | D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery |
title_full_unstemmed | D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery |
title_short | D143. Using Machine Learning to Identify Key Features for Facial Gender-Affirming Surgery |
title_sort | d143. using machine learning to identify key features for facial gender-affirming surgery |
topic | AAPS 2023 Meeting Abstract Supplement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125592/ http://dx.doi.org/10.1097/01.GOX.0000935148.34989.cf |
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