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Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches

The field of neuroimaging has increasingly sought to develop artificial intelligence-based models for neurological and neuropsychiatric disorder automated diagnosis and clinical decision support. However, if these models are to be implemented in a clinical setting, transparency will be vital. Two as...

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Detalles Bibliográficos
Autores principales: Ellis, Charles A., Miller, Robyn L., Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078989/
https://www.ncbi.nlm.nih.gov/pubmed/37035832
http://dx.doi.org/10.1016/j.imu.2023.101176