Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication

BACKGROUND: Deep learning models can infer cancer patient prognosis from molecular and anatomic pathology information. Recent studies that leveraged information from complementary multimodal data improved prognostication, further illustrating the potential utility of such methods. However, current a...

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Detalles Bibliográficos
Autores principales: Azher, Zarif L., Suvarna, Anish, Chen, Ji-Qing, Zhang, Ze, Christensen, Brock C., Salas, Lucas A., Vaickus, Louis J., Levy, Joshua J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363299/
https://www.ncbi.nlm.nih.gov/pubmed/37481666
http://dx.doi.org/10.1186/s13040-023-00338-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363299/
https://www.ncbi.nlm.nih.gov/pubmed/37481666
http://dx.doi.org/10.1186/s13040-023-00338-w

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