A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking-Reference-Cited by-同舟云学术

A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zhao Keliang¹,Niyogisubizo Jovial¹,Xiao Linxia¹,Pan Yi²,Wei Dongqing³,Rosiyadi Didi⁴,Wei Yanjie¹

Affiliation:

1. Chinese Academy of Sciences,Shenzhen Key Laboratory of Intelligent Bioinformatics and Center for High Performance Computing, Shenzhen Institute of Advanced Technology,Shenzhen,China,518055

2. Chinese Academy of Sciences,College of Computer Science and Control Engineering, Shenzhen Institutes of Advanced Technology,Shenzhen,China,518055

3. Shanghai Jiao Tong University,State Key Laboratory of Microbial Metabolism, and School of Life Sciences and Biotechnology,Shanghai,China,200240

4. National Research and Innovation Agency,Research Center for Artificial Intelligence and Cybersecurity,Bandung,Indonesia

Funder

Research and Development

National Key Research and Development Program of China

National Science Foundation

Youth Innovation Promotion Association

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385935.pdf?arnumber=10385935

Reference20 articles.

1. The role of fibroblast growth factor 8 in cartilage development and disease

2. EmbedTrack—Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths

3. A non-invasive method to generate induced pluripotent stem cells from primate urine

4. A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction

5. Deep learning in video multi-object tracking: A survey