Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer

Clinical trials increasingly employ medical imaging data in conjunction with supervised classifiers, where the latter require large amounts of training data to accurately model the system. Yet, a classifier selected at the start of the trial based on smaller and more accessible datasets may yield in...

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Detalles Bibliográficos
Autores principales: Basavanhally, Ajay, Viswanath, Satish, Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436385/
https://www.ncbi.nlm.nih.gov/pubmed/25993029
http://dx.doi.org/10.1371/journal.pone.0117900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436385/
https://www.ncbi.nlm.nih.gov/pubmed/25993029
http://dx.doi.org/10.1371/journal.pone.0117900

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