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Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images
2018
2018 25th IEEE International Conference on Image Processing (ICIP)
Structural analysis of neurons can provide valuable insights of brain function. Semantic segmentation of neurons thus becomes an important technique in bioinformatics. Deep learning approaches have shown promising performance in various semantic segmentation problems. However, segmentation of neurons in Electron Microscopy (EM) images has some differences compared with typical segmentation tasks due to the image noise and the disturbance of the intracellular structures. In our work, we propose
doi:10.1109/icip.2018.8451775
dblp:conf/icip/LiuZLSJFXC18
fatcat:y6kl6wcumrf4fapztpgd7ocffe