Fast identification and quantification of c-Fos protein using you-only-look-once-v5.

Pang, Na; Liu, Zihao; Lin, Zhengrong; Chen, Xiaoyan; Liu, Xiufang; Pan, Min; Shi, Keke; Xiao, Yang; Xu, Lisheng

Pang, Na; Liu, Zihao; Lin, Zhengrong; Chen, Xiaoyan; Liu, Xiufang; Pan, Min; Shi, Keke; Xiao, Yang; Xu, Lisheng.

Afiliação

Pang N; The College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Liu Z; Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Lin Z; Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, China.
Chen X; Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Liu X; Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Pan M; Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shi K; Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, China.
Xiao Y; Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Xu L; National Innovation Center for Advanced Medical Devices, Shenzhen, China.

Front Psychiatry ; 13: 1011296, 2022.

Article em En | MEDLINE | ID: mdl-36213931

Palavras-chave

c-Fos; deep learning; neuron activity; neuroscience; quantitative statistics

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google