FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics

Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in connectomics research is developing scalable image analysis algorithms that requi...

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Bibliographic Details

Published in:	Frontiers in computer science (Lausanne) Vol. 3
Main Authors:	Quan, Tran Minh, Hildebrand, David Grant Colburn, Jeong, Won-Ki
Format:	Journal Article
Language:	English
Published:	Frontiers Media S.A 13.05.2021
Subjects:	connectomic analysis deep learning image segementation refinement skip connection
ISSN:	2624-9898, 2624-9898
Online Access:	Get full text
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