Quantifying morphologies of developing neuronal cells using deep learning with imperfect annotations-Reference-Cited by-同舟云学术

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Quantifying morphologies of developing neuronal cells using deep learning with imperfect annotations

Published:2024-06 Issue: Volume:16 Page:118-126
ISSN:2667-2421
Container-title:IBRO Neuroscience Reports
language:en
Short-container-title:IBRO Neuroscience Reports

Author:

Nourollah Amir Masoud,Hassanpour Hamid,Zehtabian Amin^ORCID

Publisher

Elsevier BV

Subject

General Neuroscience

Reference41 articles.

1. Segmentation, tracing, and quantification of microglial cells from 3d image stacks;Abdolhoseini;Sci. Rep.,2019

2. A deep learning-based algorithm for 2-d cell segmentation in microscopy images;Al-Kofahi;BMC Bioinforma.,2018

3. Resveratrol brain delivery for neurological disorders prevention and treatment;Andrade;Front. Pharmacol.,2018

4. L-neuron: a modeling tool for the efficient generation and parsimonious description of dendritic morphology;Ascoli;Neurocomputing,2000

5. Automatic segmentation of neurons from fluorescent microscopy imaging;Baglietto,2018

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