Advancing Connectomics: High-Precision Neural Structure Segmentation Using U-Net-Based Model
Author:
Affiliation:
1. Computer Science and Engineering Institute of Engineering and Management,Kolkata,India
2. Computer Science University of California,Santa Cruz,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10315953/10315721/10316141.pdf?arnumber=10316141
Reference11 articles.
1. Neuronal Structure Segmentation in Drosophila First Instar Larva Ventral Nerve Cord Using U-Net Convolution Network
2. A single-cell transcriptomic atlas of the adult Drosophila ventral nerve cord
3. An Integrated Micro- and Macroarchitectural Analysis of the Drosophila Brain by Computer-Assisted Serial Section Electron Microscopy
4. Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images
5. U-Net and its variants for medical image segmentation: theory and applications;siddique;arXiv preprint arXiv 2011 00177,2020
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