Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images

IMPORTANCE: Proper evaluation of the performance of artificial intelligence techniques in the analysis of digitized medical images is paramount for the adoption of such techniques by the medical community and regulatory agencies. OBJECTIVES: To compare several cross-validation (CV) approaches to eva...

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Detalles Bibliográficos
Autores principales: Nir, Guy, Karimi, Davood, Goldenberg, S. Larry, Fazli, Ladan, Skinnider, Brian F., Tavassoli, Peyman, Turbin, Dmitry, Villamil, Carlos F., Wang, Gang, Thompson, Darby J. S., Black, Peter C., Salcudean, Septimiu E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2019
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484626/
https://www.ncbi.nlm.nih.gov/pubmed/30848813
http://dx.doi.org/10.1001/jamanetworkopen.2019.0442

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484626/
https://www.ncbi.nlm.nih.gov/pubmed/30848813
http://dx.doi.org/10.1001/jamanetworkopen.2019.0442

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