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Use of artificial intelligence to characterize renal tumors
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Urological Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902426/ https://www.ncbi.nlm.nih.gov/pubmed/35244985 http://dx.doi.org/10.4111/icu.20220051 |
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author | Kim, Hokun Hong, Sung-Hoo |
author_facet | Kim, Hokun Hong, Sung-Hoo |
author_sort | Kim, Hokun |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8902426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Korean Urological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-89024262022-03-16 Use of artificial intelligence to characterize renal tumors Kim, Hokun Hong, Sung-Hoo Investig Clin Urol Editorial The Korean Urological Association 2022-03 2022-02-22 /pmc/articles/PMC8902426/ /pubmed/35244985 http://dx.doi.org/10.4111/icu.20220051 Text en © The Korean Urological Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Editorial Kim, Hokun Hong, Sung-Hoo Use of artificial intelligence to characterize renal tumors |
title | Use of artificial intelligence to characterize renal tumors |
title_full | Use of artificial intelligence to characterize renal tumors |
title_fullStr | Use of artificial intelligence to characterize renal tumors |
title_full_unstemmed | Use of artificial intelligence to characterize renal tumors |
title_short | Use of artificial intelligence to characterize renal tumors |
title_sort | use of artificial intelligence to characterize renal tumors |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902426/ https://www.ncbi.nlm.nih.gov/pubmed/35244985 http://dx.doi.org/10.4111/icu.20220051 |
work_keys_str_mv | AT kimhokun useofartificialintelligencetocharacterizerenaltumors AT hongsunghoo useofartificialintelligencetocharacterizerenaltumors |