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P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL
| 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/PMC10431180/ http://dx.doi.org/10.1097/01.HS9.0000971868.53649.d2 |
| _version_ | 1785091140314202112 |
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| author | Xu, Tao Jemaa, Skander Kumar, Manas Balasubramanian, Sandhya Shamas-Din, Aisha Lyalina, Svetlana Ounadjela, Souhila Malik, Bilal Lee, Joe Figueroa Morales, Salvador Nielsen, Tina Ad Carano, Rick Kostakoglu, Lale Capra, William |
| author_facet | Xu, Tao Jemaa, Skander Kumar, Manas Balasubramanian, Sandhya Shamas-Din, Aisha Lyalina, Svetlana Ounadjela, Souhila Malik, Bilal Lee, Joe Figueroa Morales, Salvador Nielsen, Tina Ad Carano, Rick Kostakoglu, Lale Capra, William |
| author_sort | Xu, Tao |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10431180 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Lippincott Williams & Wilkins |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-104311802023-08-17 P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL Xu, Tao Jemaa, Skander Kumar, Manas Balasubramanian, Sandhya Shamas-Din, Aisha Lyalina, Svetlana Ounadjela, Souhila Malik, Bilal Lee, Joe Figueroa Morales, Salvador Nielsen, Tina Ad Carano, Rick Kostakoglu, Lale Capra, William Hemasphere Posters Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10431180/ http://dx.doi.org/10.1097/01.HS9.0000971868.53649.d2 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 Xu, Tao Jemaa, Skander Kumar, Manas Balasubramanian, Sandhya Shamas-Din, Aisha Lyalina, Svetlana Ounadjela, Souhila Malik, Bilal Lee, Joe Figueroa Morales, Salvador Nielsen, Tina Ad Carano, Rick Kostakoglu, Lale Capra, William P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL |
| title | P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL |
| title_full | P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL |
| title_fullStr | P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL |
| title_full_unstemmed | P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL |
| title_short | P1244: AN AUTOMATED QUANTIFICATION ALGORITHM FOR EVALUATING TOTAL METABOLIC TUMOR VOLUME IN PATIENTS WITH FDG-AVID LYMPHOMAS USING A DEEP LEARNING MODEL |
| title_sort | p1244: an automated quantification algorithm for evaluating total metabolic tumor volume in patients with fdg-avid lymphomas using a deep learning model |
| topic | Posters |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431180/ http://dx.doi.org/10.1097/01.HS9.0000971868.53649.d2 |
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