Neuronal Mesh Reconstruction from Image Stacks Using Implicit Neural Representations

Reconstructing neuronal morphology from microscopy image stacks is essential for understanding brain function and behavior. While existing methods are capable of tracking neuronal tree structures and creating membrane surface meshes, they often lack seamless processing pipelines and suffer from stit...

詳細記述

書誌詳細

出版年:	Mathematics
主要な著者:	Xiaoqiang Zhu, Yanhua Zhao, Lihua You
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-04-01
主題:	implicit neural representations SDF deep learning neuronal morphology representation learning neuron segmentation
オンライン･アクセス:	https://www.mdpi.com/2227-7390/13/8/1276