Is texture predictive for age and sex in brain MRI?

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Title: Is texture predictive for age and sex in brain MRI?
Authors: Pawlowski, N
Glocker, B
Item Type: Working Paper
Abstract: Deep learning builds the foundation for many medical image analysis tasks where neuralnetworks are often designed to have a large receptive field to incorporate long spatialdependencies. Recent work has shown that large receptive fields are not always necessaryfor computer vision tasks on natural images. We explore whether this translates to certainmedical imaging tasks such as age and sex prediction from a T1-weighted brain MRI scans.
Issue Date: 25-Jul-2019
URI: http://hdl.handle.net/10044/1/72139
Publisher: arXiv
Copyright Statement: ©2019 The Author(s).
Keywords: eess.IV
eess.IV
cs.CV
eess.IV
eess.IV
cs.CV
Notes: MIDL 2019 [arXiv:1907.08612]
Publication Status: Published
Appears in Collections:Computing