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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Bibliographic Details
Published inPhysics in medicine & biology Vol. 66; no. 10; pp. 105004 - 105022
Main Authors Bukhari, Syed Talha, Mohy-ud-Din, Hassan
Format Journal Article
LanguageEnglish
Published England IOP Publishing 21.05.2021
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