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Deep Learning in Brain MRI: Effect of Data Leakage Due to Slice-level Split Using 2D Convolutional Neural Networks

2021-04-28

Abstract excerpt

<title>Abstract</title> <p>In recent years, 2D convolutional neural networks (CNNs) have been extensively used for the diagnosis of neurological diseases from magnetic resonance imaging (MRI) data due to their potential to discern subtle and intricate patterns. Despite the high performances reported in numerous studies, developing CNN models with good generalization abilities is still a challenging task due to po...

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Literature Corpus work
267e1765-251b-5227-beee-fb4796431444
DOI
10.21203/rs.3.rs-464091/v1
Open publication

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Deep Learning in Brain MRI: Effect of Data Leakage Due to Slice-level Split Using 2D Convolutional Neural NetworksDOI 10.21203/rs.3.rs-464091/v1
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