Windisch, Paul ORCID: 0000-0003-1040-4888, Weber, Pascal, Fuerweger, Christoph, Ehret, Felix, Kufeld, Markus, Zwahlen, Daniel and Muacevic, Alexander (2020). Implementation of model explainability for a basic brain tumor detection using convolutional neural networks on MRI slices. Neuroradiology, 62 (11). S. 1515 - 1519. NEW YORK: SPRINGER. ISSN 1432-1920

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Abstract

Purpose While neural networks gain popularity in medical research, attempts to make the decisions of a model explainable are often only made towards the end of the development process once a high predictive accuracy has been achieved. Methods In order to assess the advantages of implementing features to increase explainability early in the development process, we trained a neural network to differentiate between MRI slices containing either a vestibular schwannoma, a glioblastoma, or no tumor. Results Making the decisions of a network more explainable helped to identify potential bias and choose appropriate training data. Conclusion Model explainability should be considered in early stages of training a neural network for medical purposes as it may save time in the long run and will ultimately help physicians integrate the network's predictions into a clinical decision.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Windisch, PaulUNSPECIFIEDorcid.org/0000-0003-1040-4888UNSPECIFIED
Weber, PascalUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fuerweger, ChristophUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ehret, FelixUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kufeld, MarkusUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zwahlen, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Muacevic, AlexanderUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-330617
DOI: 10.1007/s00234-020-02465-1
Journal or Publication Title: Neuroradiology
Volume: 62
Number: 11
Page Range: S. 1515 - 1519
Date: 2020
Publisher: SPRINGER
Place of Publication: NEW YORK
ISSN: 1432-1920
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
Clinical Neurology; Neuroimaging; Radiology, Nuclear Medicine & Medical ImagingMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/33061

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