UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images
Hidetoshi Urakubo, Torsten Bullmann, Yoshiyuki Kubota, Shigeyuki Oba, Shin Ishii
UNI-EM provides a user-friendly software environment for DNN-based segmentation of EM images, enabling non-experts to perform 2D and 3D segmentation without programming knowledge.
Scientific Reports · Dec 19, 2019Peer-reviewedNeuroscience