Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs

OBJECTIVE: Little is known about the effects of using different expert-determined reference standards when evaluating the performance of deep learning-based automatic detection (DLAD) models and their added value to radiologists. We assessed the concordance of expert-determined standards with a clin...

Descripción completa

Detalles Bibliográficos
Autores principales: Huh, Jung Eun, Lee, Jong Hyuk, Hwang, Eui Jin, Park, Chang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892220/
https://www.ncbi.nlm.nih.gov/pubmed/36725356
http://dx.doi.org/10.3348/kjr.2022.0548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892220/
https://www.ncbi.nlm.nih.gov/pubmed/36725356
http://dx.doi.org/10.3348/kjr.2022.0548

Ejemplares similares