AICellCounter: A Machine Learning-Based Automated Cell Counting Tool Requiring Only One Image for Training.
10.1007/s12264-022-00895-w
- Author:
Junnan XU
1
;
Andong WANG
2
;
Yunfeng WANG
1
;
Jingting LI
1
;
Ruxia XU
1
;
Hao SHI
1
;
Xiaowen LI
1
;
Yu LIANG
1
;
Jianming YANG
1
;
Tian-Ming GAO
3
Author Information
1. State Key Laboratory of Organ Failure Research, Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong Province Key Laboratory of Psychiatric Disorders, Department of Neurobiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
2. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, 999077, China.
3. State Key Laboratory of Organ Failure Research, Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong Province Key Laboratory of Psychiatric Disorders, Department of Neurobiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China. tgao@smu.edu.cn.
- Publication Type:Research Support, Non-U.S. Gov't
- MeSH:
Machine Learning;
Image Processing, Computer-Assisted/methods*
- From:
Neuroscience Bulletin
2023;39(1):83-88
- CountryChina
- Language:English
