Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System.

Patrick SchelbAnoshirwan Andrej TavakoliTeeravut TubtaweeThomas HielscherJan-Philipp RadtkeMagdalena GörtzViktoria SchützTristan Anselm KuderLars SchimmöllerAlbrecht StenzingerMarkus HohenfellnerHeinz-Peter SchlemmerDavid Bonekamp

Published in: RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin (2020)

· Schelb P, Tavakoli AA, Tubtawee T et al. Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System. Fortschr Röntgenstr 2021; 193: 559 - 573.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
prostate cancer
contrast enhanced
machine learning
magnetic resonance imaging
benign prostatic hyperplasia
diffusion weighted imaging
computed tomography