2021
DOI: 10.1016/j.compbiomed.2021.104474
|View full text |Cite
|
Sign up to set email alerts
|

A YOLO based software for automated detection and analysis of rodent behaviour in the open field arena

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9
1

Relationship

2
8

Authors

Journals

citations
Cited by 15 publications
(6 citation statements)
references
References 27 publications
0
6
0
Order By: Relevance
“…The open field test (OFT) is one of the most commonly utilized tests to assess rodent depression-like behaviors in a novel open environment. 15 OFT uses an open box of 50 cm × 50 cm × 40 cm, and a camera is installed above it. The mice were placed at the same position facing the wall to move freely for 5 min.…”
Section: Methodsmentioning
confidence: 99%
“…The open field test (OFT) is one of the most commonly utilized tests to assess rodent depression-like behaviors in a novel open environment. 15 OFT uses an open box of 50 cm × 50 cm × 40 cm, and a camera is installed above it. The mice were placed at the same position facing the wall to move freely for 5 min.…”
Section: Methodsmentioning
confidence: 99%
“…The arena was cleaned with 80% ethanol (w/v) between each test. Videos were analyzed using a custom animal tracking software 25 . The primary variables assessed using tracking software included horizontal locomotive activity (distance traveled in cm) and exploratory behavior via center square entries (CSE) and center square duration (CSD).…”
Section: Methodsmentioning
confidence: 99%
“…Mask YOLOv7, a deep learning model popular for its speed and good accuracy among the community of precision agriculture, is a neural network architecture developed purposely for object detection and image segmentation in real time. Among the numerous works that utilized YOLO algorithms for agricultural tasks are Hatton-Jones et al (2021), Hu et al (2023), Madasamy et al (2021), andYang et al, (2023).…”
Section: Machine Learning-based Drone Vision Systems For Animal Detec...mentioning
confidence: 99%