An automated quantification algorithm for evaluating total metabolic tumor volume in patients with FDG‐avid lymphomas using a deep learning model
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| Published in | Hematological oncology Vol. 41; no. S2; pp. 342 - 344 |
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| Main Authors | , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Chichester
Wiley Subscription Services, Inc
01.06.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0278-0232 1099-1069 1099-1069 |
| DOI | 10.1002/hon.3164_245 |
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| Author | Balasubramanian, S. Xu, T. Lyalina, S. Capra, W. Shamas‐Din, A. Lee, J. Carano, R. A. D. Jemaa, S. Ounadjela, S. Kumar, M. Malik, B. Morales, S. Figueroa Nielsen, T. Kostakoglu, L. |
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| Title | An automated quantification algorithm for evaluating total metabolic tumor volume in patients with FDG‐avid lymphomas using a deep learning model |
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