Single-cell laser imaging analysis of neuron using deep learning
Here the goal of this dissertation is to build a deep learning model to study how different types of neurological cells evolve for better improvement in biomedical detection.
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1561142023-07-04T17:49:11Z Single-cell laser imaging analysis of neuron using deep learning Li, Ningnan - School of Electrical and Electronic Engineering Chen Yu-Cheng yucchen@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems Here the goal of this dissertation is to build a deep learning model to study how different types of neurological cells evolve for better improvement in biomedical detection. Master of Science (Signal Processing) 2022-04-04T07:20:34Z 2022-04-04T07:20:34Z 2022 Thesis-Master by Coursework Li, N. (2022). Single-cell laser imaging analysis of neuron using deep learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156114 https://hdl.handle.net/10356/156114 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Computer hardware, software and systems Li, Ningnan Single-cell laser imaging analysis of neuron using deep learning |
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Here the goal of this dissertation is to build a deep learning model to study how different types of neurological cells evolve for better improvement in biomedical detection. |
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- Li, Ningnan |
format |
Thesis-Master by Coursework |
author |
Li, Ningnan |
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Li, Ningnan |
title |
Single-cell laser imaging analysis of neuron using deep learning |
title_short |
Single-cell laser imaging analysis of neuron using deep learning |
title_full |
Single-cell laser imaging analysis of neuron using deep learning |
title_fullStr |
Single-cell laser imaging analysis of neuron using deep learning |
title_full_unstemmed |
Single-cell laser imaging analysis of neuron using deep learning |
title_sort |
single-cell laser imaging analysis of neuron using deep learning |
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Nanyang Technological University |
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2022 |
url |
https://hdl.handle.net/10356/156114 |
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