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P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA
| 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/PMC10431033/ http://dx.doi.org/10.1097/01.HS9.0000970588.15601.1e |
| _version_ | 1785091103067734016 |
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| author | Shreve, Jacob Charalampous, Charalampos Warsame, Rahma Pritchett, Josh Kapoor, Prashant Buadi, Francis Paludo, Jonas Dingli, David Shah, Mithun Fonder, Amie Hayman, Suzanne Leung, Nelson Gertz, Morie Kyle, Robert Broski, Stephen Rajkumar, Vincent Kumar, Shaji Binder, Moritz |
| author_facet | Shreve, Jacob Charalampous, Charalampos Warsame, Rahma Pritchett, Josh Kapoor, Prashant Buadi, Francis Paludo, Jonas Dingli, David Shah, Mithun Fonder, Amie Hayman, Suzanne Leung, Nelson Gertz, Morie Kyle, Robert Broski, Stephen Rajkumar, Vincent Kumar, Shaji Binder, Moritz |
| author_sort | Shreve, Jacob |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10431033 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104310332023-08-17 P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA Shreve, Jacob Charalampous, Charalampos Warsame, Rahma Pritchett, Josh Kapoor, Prashant Buadi, Francis Paludo, Jonas Dingli, David Shah, Mithun Fonder, Amie Hayman, Suzanne Leung, Nelson Gertz, Morie Kyle, Robert Broski, Stephen Rajkumar, Vincent Kumar, Shaji Binder, Moritz Hemasphere Posters Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10431033/ http://dx.doi.org/10.1097/01.HS9.0000970588.15601.1e Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access Abstract Book distributed under the Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) which allows third parties to download the articles and share them with others as long as they credit the author and the Abstract Book, but they cannot change the content in any way or use them commercially. |
| spellingShingle | Posters Shreve, Jacob Charalampous, Charalampos Warsame, Rahma Pritchett, Josh Kapoor, Prashant Buadi, Francis Paludo, Jonas Dingli, David Shah, Mithun Fonder, Amie Hayman, Suzanne Leung, Nelson Gertz, Morie Kyle, Robert Broski, Stephen Rajkumar, Vincent Kumar, Shaji Binder, Moritz P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA |
| title | P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA |
| title_full | P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA |
| title_fullStr | P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA |
| title_full_unstemmed | P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA |
| title_short | P921: ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS FOR RISK STRATIFICATION IN NEWLY DIAGNOSED MULTIPLE MYELOMA |
| title_sort | p921: artificial intelligence based fdg pet/ct radiomics for risk stratification in newly diagnosed multiple myeloma |
| topic | Posters |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431033/ http://dx.doi.org/10.1097/01.HS9.0000970588.15601.1e |
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