Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation

PURPOSE: Ensembles of convolutional neural networks (CNNs) often outperform a single CNN in medical image segmentation tasks, but inference is computationally more expensive and makes ensembles unattractive for some applications. We compared the performance of differently constructed ensembles with...

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Detalles Bibliográficos
Autores principales: Noothout, Julia M. H., Lessmann, Nikolas, van Eede, Matthijs C., van Harten, Louis D., Sogancioglu, Ecem, Heslinga, Friso G., Veta, Mitko, van Ginneken, Bram, Išgum, Ivana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Special Section on Advances in High Dimensional Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142841/
https://www.ncbi.nlm.nih.gov/pubmed/35692896
http://dx.doi.org/10.1117/1.JMI.9.5.052407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142841/
https://www.ncbi.nlm.nih.gov/pubmed/35692896
http://dx.doi.org/10.1117/1.JMI.9.5.052407

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