RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning

PURPOSE: To demonstrate the value of pretraining with millions of radiologic images compared with ImageNet photographic images on downstream medical applications when using transfer learning. MATERIALS AND METHODS: This retrospective study included patients who underwent a radiologic study between 2...

Descripción completa

Detalles Bibliográficos
Autores principales: Mei, Xueyan, Liu, Zelong, Robson, Philip M., Marinelli, Brett, Huang, Mingqian, Doshi, Amish, Jacobi, Adam, Cao, Chendi, Link, Katherine E., Yang, Thomas, Wang, Ying, Greenspan, Hayit, Deyer, Timothy, Fayad, Zahi A., Yang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530758/
https://www.ncbi.nlm.nih.gov/pubmed/36204533
http://dx.doi.org/10.1148/ryai.210315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530758/
https://www.ncbi.nlm.nih.gov/pubmed/36204533
http://dx.doi.org/10.1148/ryai.210315

Ejemplares similares