Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks

Deep learning with convolutional neural networks (CNNs) has experienced tremendous growth in multiple healthcare applications and has been shown to have high accuracy in semantic segmentation of medical (e.g., radiology and pathology) images. However, a key barrier in the required training of CNNs i...

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Detalles Bibliográficos
Autores principales: Stember, J. N., Celik, H., Krupinski, E., Chang, P. D., Mutasa, S., Wood, B. J., Lignelli, A., Moonis, G., Schwartz, L. H., Jambawalikar, S., Bagci, U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646645/
https://www.ncbi.nlm.nih.gov/pubmed/31044392
http://dx.doi.org/10.1007/s10278-019-00220-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646645/
https://www.ncbi.nlm.nih.gov/pubmed/31044392
http://dx.doi.org/10.1007/s10278-019-00220-4

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