Search Results for author:
Found 4 papers, 1 papers with code
Two Stream Active Query Suggestion for Active Learning in Connectomics
As a use case, we build an end-to-end active learning framework with our query suggestion method for 3D synapse detection and mitochondria segmentation in connectomics.
FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures
In this work, we propose FreSeg, a framework of part segmentation tasks for 3D curvilinear structures.
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
The few methods that computes direction along with contact location have only been demonstrated to work on either dyadic (most common in vertebrate brain) or polyadic (found in fruit fly brain) synapses, but not on both types.
RhoanaNet Pipeline: Dense Automatic Neural Annotation
The best segmentation results obtained gave $V^\text{Info}_\text{F-score}$ scores of 0. 9054 and 09182 for the cortex datasets, 0. 9438 for LGN, and 0. 9150 for Cerebellum.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
