Self-Supervision for Medical Image Classification: State-of-the-Art Performance with ~100 Labeled Training Samples per Class

Is self-supervised deep learning (DL) for medical image analysis already a serious alternative to the de facto standard of end-to-end trained supervised DL? We tackle this question for medical image classification, with a particular focus on one of the currently most limiting factor of the field: th...

Descripción completa

Detalles Bibliográficos
Autores principales: Nielsen, Maximilian, Wenderoth, Laura, Sentker, Thilo, Werner, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451977/
https://www.ncbi.nlm.nih.gov/pubmed/37627780
http://dx.doi.org/10.3390/bioengineering10080895

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451977/
https://www.ncbi.nlm.nih.gov/pubmed/37627780
http://dx.doi.org/10.3390/bioengineering10080895

Ejemplares similares