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Document type:
Journal Article 
Author(s):
Shapira, Nadav; Fokuhl, Julia; Schultheiß, Manuel; Beck, Stefanie; Kopp, Felix K; Pfeiffer, Daniela; Dangelmaier, Julia; Pahn, Gregor; Sauter, Andreas P; Renger, Bernhard; Fingerle, Alexander A; Rummeny, Ernst J; Albarqouni, Shadi; Navab, Nassir; Noël, Peter B 
Title:
Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography. 
Abstract:
PURPOSE: To evaluate the benefit of the additional available information present in spectral CT datasets, as compared to conventional CT datasets, when utilizing convolutional neural networks for fully automatic localisation and classification of liver lesions in CT images. MATERIALS AND METHODS: Conventional and spectral CT images (iodine maps, virtual monochromatic images (VMI)) were obtained from a spectral dual-layer CT system. Patient diagnosis were known from the clinical reports and class...    »
 
Journal title abbreviation:
Biomed Phys Eng Express 
Year:
2020 
Journal volume:
Journal issue:
Fulltext / DOI:
Print-ISSN:
2057-1976 
TUM Institution:
Institut für Diagnostische und Interventionelle Radiologie