Isolated Random Forest Assisted Spatio-Temporal Ant Colony Evolutionary Algorithm for Cell Tracking in Time-Lapse Sequences-Reference-Cited by-同舟云学术

Isolated Random Forest Assisted Spatio-Temporal Ant Colony Evolutionary Algorithm for Cell Tracking in Time-Lapse Sequences

Published:2024-07 Issue:7 Volume:28 Page:4157-4169
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Xu Benlian¹^ORCID,Wu Di²^ORCID,Shi Jian³^ORCID,Cong Jinliang³^ORCID,Lu Mingli³^ORCID,Yang Feng²^ORCID,Nener Brett⁴^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou, China

2. School of Automation, Northwestern Polytechnical University, Xi'an, China

3. School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, China

4. Department of Electrical, Electronic and Computer Engineering, University of Western Australia, Perth, WA, Australia

Funder

National Natural Science Foundation of China

Suzhou Municipal Science and Technology Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10582272/10508351.pdf?arnumber=10508351

Reference40 articles.

1. Automatic Tracking ofEscherichia Coliin Phase-Contrast Microscopy Video

2. Automated Cell Tracking Using Motion Prediction-Based Matching and Event Handling

3. Extracting neuronal activity signals from microscopy recordings of contractile tissue using B-spline Explicit Active Surfaces (BEAS) cell tracking

4. Evaluation and benchmarking of level set-based three forces via geometric active contours for segmentation of white blood cell nuclei shape;Khamael;Comput. Biol. Med.,2020

5. Tracking Cells and Their Lineages Via Labeled Random Finite Sets