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Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review”
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624779/ https://www.ncbi.nlm.nih.gov/pubmed/37923836 http://dx.doi.org/10.1186/s13244-023-01520-8 |
| _version_ | 1785130986495803392 |
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| author | Bevilacqua, Alessandro Mottola, Margherita |
| author_facet | Bevilacqua, Alessandro Mottola, Margherita |
| author_sort | Bevilacqua, Alessandro |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10624779 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Springer Vienna |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-106247792023-11-05 Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” Bevilacqua, Alessandro Mottola, Margherita Insights Imaging Opinion Springer Vienna 2023-11-03 /pmc/articles/PMC10624779/ /pubmed/37923836 http://dx.doi.org/10.1186/s13244-023-01520-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Opinion Bevilacqua, Alessandro Mottola, Margherita Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” |
| title | Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” |
| title_full | Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” |
| title_fullStr | Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” |
| title_full_unstemmed | Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” |
| title_short | Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review” |
| title_sort | letter to the editor on “comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on mri: a systematic review” |
| topic | Opinion |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624779/ https://www.ncbi.nlm.nih.gov/pubmed/37923836 http://dx.doi.org/10.1186/s13244-023-01520-8 |
| work_keys_str_mv | AT bevilacquaalessandro lettertotheeditoroncomparativeperformanceoffullyautomatedandsemiautomatedartificialintelligencemethodsforthedetectionofclinicallysignificantprostatecanceronmriasystematicreview AT mottolamargherita lettertotheeditoroncomparativeperformanceoffullyautomatedandsemiautomatedartificialintelligencemethodsforthedetectionofclinicallysignificantprostatecanceronmriasystematicreview |