Autosegmentation of Prostate Zones and Cancer Regions from Biparametric Magnetic Resonance Images by Using Deep-Learning-Based Neural Networks - Lai, Chih-Ching; Wang, Hsin-Kai; Wang, Fu-Nien; Peng, Yu-Ching; Lin, Tzu-Ping; Peng, Hsu-Hsia; Shen, Shu-Huei (Sensors (Basel, Switzerland), 2021)
Keywords: Accuracy; ADC; Datasets; DCNN; Deep Learning; Diffusion Magnetic Resonance Imaging; encoder–decoder architecture; Humans; Machine learning; Magnetic Resonance Imaging; Male; Methods; Multiparametric Magnetic Resonance Imaging; Neural networks; Neural Networks, Computer; Patients; Prostate - diagnostic imaging; Prostate cancer; Prostatic Neoplasms - diagnostic imaging; SegNet; Semantics; T2W; zonal segmentation; ADC; DCNN; zonal segmentation; DWI; T2W; SegNet; encoder–decoder architecture