Bulletin of the American Physical Society
APS March Meeting 2024
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session N00: Poster Session II (11:30am-2:30pm CST)
11:30 AM,
Wednesday, March 6, 2024
Room: Hall BC
Sponsoring
Unit:
APS/SPS
Abstract: N00.00340 : Branch Points Detection in Automated Reconstruction of Morphological Neural Circuits Via Supervised Machine Learning
Presenter:
Hang Deng
(Northeastern University)
Author:
Hang Deng
(Northeastern University)
Collaboration:
Hang Deng
In this study, we introduce a supervised machine learning approach designed to detect branch points in low-resolution 3D stacks. The primary objective of this technique is to enhance the precision of neural circuit reconstruction and mitigate potential errors. Our method significantly reduces the occurrence of merged crossing dendrites, thereby improving the overall accuracy of the reconstruction process.
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