Convolutional neural networks for the identification of regions of interest in PET scans : a study of representation learning for diagnosing Alzheimer’s disease
ten Teije, Annette (Hrsg). Artificial Intelligence in Medicine : 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. Cham: Springer International Publishing 2017 S. 316 - 321
Erscheinungsjahr: 2017
ISBN/ISSN: 978-3-319-59758-4 ; 978-3-319-59757-7
Publikationstyp: Buchbeitrag (Konferenzbeitrag)
Sprache: Englisch
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Inhaltszusammenfassung
When diagnosing patients suffering from dementia based on imaging data like PET scans, the identification of suitable predictive regions of interest (ROIs) is of great importance. We present a case study of 3-D Convolutional Neural Networks (CNNs) for the detection of ROIs in this context, just using voxel data, without any knowledge given a priori. Our results on data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) suggest that the predictive performance of the method is on par w...When diagnosing patients suffering from dementia based on imaging data like PET scans, the identification of suitable predictive regions of interest (ROIs) is of great importance. We present a case study of 3-D Convolutional Neural Networks (CNNs) for the detection of ROIs in this context, just using voxel data, without any knowledge given a priori. Our results on data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) suggest that the predictive performance of the method is on par with that of state-of-the-art methods, with the additional benefit of potential insights into affected brain regions.» weiterlesen» einklappen
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Informatik
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Informatik
