Back to search

Article

Deep Learning-Driven Gender Classification of <i>Drosophila melanogaster</i> : Advancing Real-Time Analysis with Mobile Integration

2025-04-08

Abstract excerpt

Researchers extensively use Drosophila melanogaster as a model organism in genetic research and developmental studies to better understand human diseases such as cancer and diabetes. For such investigations, it is necessary to identify and classify male and female flies. This study uses deep learning techniques for gender classification of Drosophila melanogaster via models YOLOv8, Detectron2, ResNet-50, Incepti...

Topics

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

Identifiers and source

Literature Corpus work
fe354ed9-36b4-52a3-ad20-061808efc7c2
DOI
10.1101/2025.04.04.647141
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.
Deep Learning-Driven Gender Classification of <i>Drosophila melanogaster</i> : Advancing Real-Time Analysis with Mobile IntegrationDOI 10.1101/2025.04.04.647141
Select a neighboring publication to make it the new centre.