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Titel:

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

Dokumenttyp:
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.
Autor(en):
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...     »
Zeitschriftentitel:
Neuroimage
Jahr:
2022
Band / Volume:
260
Volltext / DOI:
doi:10.1016/j.neuroimage.2022.119505
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/35878722
Print-ISSN:
1053-8119
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie
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