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Title:

DAFT: A universal module to interweave tabular data and 3D images in CNNs.

Document type:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Author(s):
Wolf, Tom Nuno; Pölsterl, Sebastian; Wachinger, Christian
Abstract:
Prior work on Alzheimer's Disease (AD) has demonstrated that convolutional neural networks (CNNs) can leverage the high-dimensional image information for diagnosing patients. Beside such data-driven approaches, many established biomarkers exist and are typically represented as tabular data, such as demographics, genetic alterations, or laboratory measurements from cerebrospinal fluid. However, little research has focused on the effective integration of tabular data into existing CNN architecture...     »
Journal title abbreviation:
Neuroimage
Year:
2022
Journal volume:
260
Fulltext / DOI:
doi:10.1016/j.neuroimage.2022.119505
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/35878722
Print-ISSN:
1053-8119
TUM Institution:
Institut für Diagnostische und Interventionelle Radiologie
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