Fig. 3From: Effective automated pipeline for 3D reconstruction of synapses based on deep learningFaster R-CNN architecture. A raw image is input into a shared FCN, and then RPN is applied to generate region proposals from feature maps. Subsequently, each proposal is pooled into a fixed-size feature map, followed by the Fast R-CNN model to obtain the final detection results. This architecture is trained end-to-end with a multi-task lossBack to article page