Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

Abstract Background Multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) shows clinical potential for detection and classification of breast lesions. Yet, the contribution of features for computer-aided segmentation and diagnosis (CAD) need to be better understood. We...

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Bibliographic Details
Main Authors: Wolf-Dieter Vogl, Katja Pinker, Thomas H. Helbich, Hubert Bickel, Günther Grabner, Wolfgang Bogner, Stephan Gruber, Zsuzsanna Bago-Horvath, Peter Dubsky, Georg Langs
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:European Radiology Experimental
Subjects:
Diagnosis (computer-assisted)
Breast neoplasms
Magnetic resonance imaging
Machine learning
Positron-emission tomography
Online Access:http://link.springer.com/article/10.1186/s41747-019-0096-3

Internet

http://link.springer.com/article/10.1186/s41747-019-0096-3

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