Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is mastering computer vision tasks, its application to digital pathology is natural, with the promise of aiding in routine reporting and standardizing results across trials. Deep learning features inferred...

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Detalles Bibliográficos
Autores principales: Bizzego, Andrea, Bussola, Nicole, Chierici, Marco, Maggio, Valerio, Francescatto, Margherita, Cima, Luca, Cristoforetti, Marco, Jurman, Giuseppe, Furlanello, Cesare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467397/
https://www.ncbi.nlm.nih.gov/pubmed/30917113
http://dx.doi.org/10.1371/journal.pcbi.1006269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467397/
https://www.ncbi.nlm.nih.gov/pubmed/30917113
http://dx.doi.org/10.1371/journal.pcbi.1006269

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