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Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396243/ https://www.ncbi.nlm.nih.gov/pubmed/32793653 http://dx.doi.org/10.21037/atm.2020.04.33 |
| _version_ | 1783565548567658496 |
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| author | Peng, Shichun Spetsieris, Phoebe G. Eidelberg, David Ma, Yilong |
| author_facet | Peng, Shichun Spetsieris, Phoebe G. Eidelberg, David Ma, Yilong |
| author_sort | Peng, Shichun |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7396243 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | AME Publishing Company |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-73962432020-08-12 Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges Peng, Shichun Spetsieris, Phoebe G. Eidelberg, David Ma, Yilong Ann Transl Med Editorial AME Publishing Company 2020-07 /pmc/articles/PMC7396243/ /pubmed/32793653 http://dx.doi.org/10.21037/atm.2020.04.33 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
| spellingShingle | Editorial Peng, Shichun Spetsieris, Phoebe G. Eidelberg, David Ma, Yilong Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges |
| title | Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges |
| title_full | Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges |
| title_fullStr | Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges |
| title_full_unstemmed | Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges |
| title_short | Radiomics and supervised machine learning in the diagnosis of parkinsonism with FDG PET: promises and challenges |
| title_sort | radiomics and supervised machine learning in the diagnosis of parkinsonism with fdg pet: promises and challenges |
| topic | Editorial |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396243/ https://www.ncbi.nlm.nih.gov/pubmed/32793653 http://dx.doi.org/10.21037/atm.2020.04.33 |
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