Prostate zonal segmentation in 1.5T and 3T T2W MRI using a convolutional neural network

Autor: Carina Jensen, Niels C. Langkilde, Camilla Winther Nielsen, Pia Christine Høy, Cecilia Klitgaard Jørgensen, Kristine Storm Sørensen, Lasse Riis Østergaard

Publikováno v: Jensen, C, Sørensen, K S, Jørgensen, C K, Nielsen, C W, Høy, P C, Langkilde, N-C & Østergaard, L R 2019, ' Prostate zonal segmentation in 1.5T and 3T T2W MRI using a convolutional neural network ', Journal of medical imaging (Bellingham, Wash.), vol. 6, no. 1, 014501 . https://doi.org/10.1117/1.JMI.6.1.014501

Zonal segmentation of the prostate gland using magnetic resonance imaging (MRI) is clinically important for prostate cancer (PCa) diagnosis and image-guided treatments. A two-dimensional convolutional neural network (CNN) based on the U-net architect

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https://vbn.aau.dk/ws/files/308118785/014501_1_1_.pdf