An Automated Cell Detection Method for TH-positive Dopaminergic Neurons in a Mouse Model of Parkinson’s Disease Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

An Automated Cell Detection Method for TH-positive Dopaminergic Neurons in a Mouse Model of Parkinson’s Disease Using Convolutional Neural Networks

Published:2023-06-30 Issue:3 Volume:32 Page:181-194
ISSN:1226-2560
Container-title:Experimental Neurobiology
language:en
Short-container-title:Exp Neurobiol

Author:

Kim Doyun¹,Bak Myeong Seong²³,Park Haney²³,Baek In Seon²,Chung Geehoon¹,Park Jae Hyun⁴,Ahn Sora⁵,Park Seon-Young¹,Bae Hyunsu¹,Park Hi-Joon⁵,Kim Sun Kwang¹²⁴

Affiliation:

1. Department of Physiology, College of Korean Medicine, Kyung Hee University, Seoul 02447, Korea

2. Department of Science in Korean Medicine, Graduate School, Kyung Hee University, Seoul 02447, Korea

3. Department of AI and Data Analysis, Neurogrin Inc., Seoul 02455, Korea

4. Department of East-West Medicine, Graduate School, Kyung Hee University, Seoul 02447, Korea

5. Acupuncture & Meridian Science Research Center, Kyung Hee University, Seoul 02447, Korea

Funder

National Research Foundation of Korea

Publisher

The Korean Society for Brain and Neural Science

Subject

Cellular and Molecular Neuroscience,Neurology (clinical)

Link

http://pdf.medrang.co.kr/EN/2023/032/en-32-3-181.pdf

Reference52 articles.

1. Diagnosis and Treatment of Parkinson Disease

2. Pain is common in Parkinson's disease

3. Impaired Quality of Life and Need for Palliative Care in a German Cohort of Advanced Parkinson’s Disease Patients

4. Survival time, mortality, and cause of death in elderly patients with Parkinson's disease. A 9-year follow-up

5. Incidence and Pathology of Synucleinopathies and Tauopathies Related to Parkinsonism

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1. TrueTH: A user-friendly deep learning approach for robust dopaminergic neuron detection;Neuroscience Letters;2024-07

2. Machine learning-based evaluation of spontaneous pain and analgesics from cellular calcium signals in the mouse primary somatosensory cortex using explainable features;Frontiers in Molecular Neuroscience;2024-02-21