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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Foilsithe in:J Digit Imaging
Main Authors: 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.
Formáid: Artigo
Teanga:Inglês
Foilsithe: Springer International Publishing 2019
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Article
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6646645/
https://ncbi.nlm.nih.gov/pubmed/31044392
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00220-4
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