A systematic evaluation of learning rate policies in training CNNs for brain tumor segmentation
Convolutional neural networks (CNNs) have recently emerged as a powerful approach for automatic segmentation of brain tumor subregions on 3D multi-parametric MRI scans. Learning rate is a crucial hyperparameter in the training of CNNs, impacting the performance of the learned model. Different learni...
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Published in | Physics in medicine & biology Vol. 66; no. 10; pp. 105004 - 105022 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
IOP Publishing
21.05.2021
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Subjects | |
Online Access | Get full text |
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