Exploiting Enclosing Membranes and Contextual Cues for Mitochondria Segmentation

In this paper, we improve upon earlier approaches to segmenting mitochondria in Electron Microscopy images by explicitly modeling the double membrane that encloses mitochondria, as well as using features that capture context over an extended neighborhood. We demonstrate that this results in both improved classification accuracy and reduced computational requirements for training.


Presented at:
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Boston, Massachusetts, USA, September 2014
Year:
2014
Laboratories:




 Record created 2014-06-05, last modified 2018-01-28

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