Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class Labels

PURPOSE: To compare the efficacy and efficiency of training neural networks for medical image classification using comparison labels indicating relative disease severity versus diagnostic class labels from a retinopathy of prematurity (ROP) image dataset. DESIGN: Evaluation of diagnostic test or tec...

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Detalles Bibliográficos
Autores principales: Hanif, Adam, Yıldız, İlkay, Tian, Peng, Kalkanlı, Beyza, Erdoğmuş, Deniz, Ioannidis, Stratis, Dy, Jennifer, Kalpathy-Cramer, Jayashree, Ostmo, Susan, Jonas, Karyn, Chan, R. V. Paul, Chiang, Michael F., Campbell, J. Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560533/
https://www.ncbi.nlm.nih.gov/pubmed/36249702
http://dx.doi.org/10.1016/j.xops.2022.100122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560533/
https://www.ncbi.nlm.nih.gov/pubmed/36249702
http://dx.doi.org/10.1016/j.xops.2022.100122

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