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Found 4 papers, 1 papers with code
High-Precision Automated Reconstruction of Neurons with Flood-filling Networks
Reconstruction of neural circuits from volume electron microscopy data requires the tracing of complete cells including all their neurites.
Electron Microscopy Image Segmentation
Image Reconstruction
+1
Flood-Filling Networks
State-of-the-art image segmentation algorithms generally consist of at least two successive and distinct computations: a boundary detection process that uses local image information to classify image locations as boundaries between objects, followed by a pixel grouping step such as watershed or connected components that clusters pixels into segments.
Learning to Agglomerate Superpixel Hierarchies
An agglomerative clustering algorithm merges the most similar pair of clusters at every iteration.
Maximin affinity learning of image segmentation
We present the first machine learning algorithm for training a classifier to produce affinity graphs that are good in the sense of producing segmentations that directly minimize the Rand index, a well known segmentation performance measure.
