Multi-task Bayesian model combining FDG-PET/CT imaging and clinical data for interpretable high-grade prostate cancer prognosis.
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| Title: | Multi-task Bayesian model combining FDG-PET/CT imaging and clinical data for interpretable high-grade prostate cancer prognosis. |
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| Authors: | Larose, Maxence1,2 (AUTHOR) maxence.larose.1@ulaval.ca, Archambault, Louis1,2 (AUTHOR) louis.archambault@phy.ulaval.ca, Touma, Nawar2 (AUTHOR), Brodeur, Raphaël1,2 (AUTHOR), Desroches, Félix1,2 (AUTHOR), Raymond, Nicolas3 (AUTHOR), Bédard-Tremblay, Daphnée2 (AUTHOR), LeBlanc, Danahé1,2 (AUTHOR), Rasekh, Fatemeh2 (AUTHOR), Hovington, Hélène2 (AUTHOR), Neveu, Bertrand2 (AUTHOR), Vallières, Martin3 (AUTHOR) martin.vallieres@usherbrooke.ca, Pouliot, Frédéric2 (AUTHOR) frederic.pouliot@fmed.ulaval.ca |
| Source: | Scientific Reports. 11/6/2024, Vol. 14 Issue 1, p1-23. 23p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-024-77498-0 |
