Two Stream Active Query Suggestion for Active Learning in Connectomics

no code implementations • ECCV 2020 • Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Brian Matejek, Lee Kamentsky, Adi Peleg, Daniel Haehn, Thouis Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister

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.

Active Learning Image Classification +1

Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets

1 code implementation • 8 Jul 2018 • Toufiq Parag, Daniel Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister

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.

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration

no code implementations • 27 Jul 2017 • Toufiq Parag, Fabian Tschopp, William Grisaitis, Srinivas C. Turaga, Xuewen Zhang, Brian Matejek, Lee Kamentsky, Jeff W. Lichtman, Hanspeter Pfister

The field of connectomics has recently produced neuron wiring diagrams from relatively large brain regions from multiple animals.

Segmentation