Benutzer: Gast  Login
Dokumenttyp:
Journal Article 
Autor(en):
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 
Titel:
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...    »
 
Zeitschriftentitel:
Biomed Phys Eng Express 
Jahr:
2020 
Band / Volume:
Heft / Issue:
Volltext / DOI:
Print-ISSN:
2057-1976 
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie