Use Test of Automated Machine Learning in Cancer Diagnostics

Use Test of Automated Machine Learning in Cancer Diagnostics

Our aim is to investigate the added value of automated machine learning (AutoML) for potential future applications in cancer diagnostics. Using two important diagnostic questions, the non-invasive determination of IDH mutation status and ATRX status, we analyze whether it is possible to use AutoML t...

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Bibliographic Details
Main Authors: Manfred Musigmann, Nabila Gala Nacul, Dilek N. Kasap, Walter Heindel, Manoj Mannil
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Diagnostics
Subjects:
machine learning
AutoML
radiomics
MRI
Online Access:https://www.mdpi.com/2075-4418/13/14/2315

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https://www.mdpi.com/2075-4418/13/14/2315

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