Back to search

Article

A real-time detection and non-destructive warning method for zebrafish body surface anomalies based on improved YOLOv8 framework

2025-04-28

Abstract excerpt

The detection of anomalies on fish surfaces is of critical importance for assessing fish health status, preventing fish disease outbreaks, predicting changes in water quality, enhancing fish welfare. The zebrafish ( Danio rerio ), a key model organism, has been increasingly utilized in various fields, including medicine, genetics and environmental toxicology. This has led to a corresponding increase in demand for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e8a1f325-fa8e-554a-8b0a-b636d7fa4c8e
DOI
10.1101/2025.04.28.649888
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A real-time detection and non-destructive warning method for zebrafish body surface anomalies based on improved YOLOv8 frameworkDOI 10.1101/2025.04.28.649888
Select a neighboring publication to make it the new centre.