Biased data, biased AI: deep networks predict the acquisition site of TCGA images

BACKGROUND: Deep learning models applied to healthcare applications including digital pathology have been increasing their scope and importance in recent years. Many of these models have been trained on The Cancer Genome Atlas (TCGA) atlas of digital images, or use it as a validation source. One cru...

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Detalles Bibliográficos
Autores principales: Dehkharghanian, Taher, Bidgoli, Azam Asilian, Riasatian, Abtin, Mazaheri, Pooria, Campbell, Clinton J. V., Pantanowitz, Liron, Tizhoosh, H. R., Rahnamayan, Shahryar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189924/
https://www.ncbi.nlm.nih.gov/pubmed/37198691
http://dx.doi.org/10.1186/s13000-023-01355-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189924/
https://www.ncbi.nlm.nih.gov/pubmed/37198691
http://dx.doi.org/10.1186/s13000-023-01355-3

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