Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
Ruohua Shi,
Lingyu Duan,
Tiejun Huang
et al.
Abstract:Recent advances in deep learning have greatly improved the segmentation of mitochondria from Electron Microscopy (EM) images. However, suffering from variations in mitochondrial morphology, imaging conditions, and image noise, existing methods still exhibit high uncertainty in their predictions. Moreover, in view of our findings, predictions with high levels of uncertainty are often accompanied by inaccuracies such as ambiguous boundaries and amount of false positive segments. To deal with the above problems, … Show more
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