Landmark detection MSET models training

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Type
Workflow
Author
Vandaele, Rémy
Requires
scikit-learn (sklearn)
Python 3.6
Execution Platform
Linux
Mac
Windows
Implementation Type
plugin
Programming Language
Python
Supported image dimension
2D
multi-channel
Interaction Level
Automated
License/Openness
Free and open source
License
Apache 2.0
Description

This workflow trains MSET landmark detection models from a dataset of annotated images.

has function
Landmark assignment
has topic
Machine learning
has biological terms
drosophila wing
Entry Curator
lascholz
Post date
03/15/2019 - 01:48
Last modified
05/17/2023 - 20:33
Download Page
Neubias BIAFLOWS workflow of landmark detection with MSET models (Training)
Reference Publication Link
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolut…
has comparison
https://biaflows.neubias.org/#tabs-dashboard-7908102