Landmark detection DMBL model training

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Type
Workflow
Author
Vandaele, Rémy
Requires
scikit-learn (sklearn)
Python 3.6
sumproduct
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
Description

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

has function
Landmark assignment
has topic
Computerized tomography
has biological terms
localization of anatomical structures
Entry Curator
lascholz
Post date
03/15/2019 - 02:35
Last modified
03/15/2019 - 03:17
Workflow steps
Step number: purpose
Image processing
Download Page
Neubias BIAFLOWS workflow of landmark detection with DMBL models (Training)
Reference Publication Link
Global localization of 3D anatomical structures by pre-filtered Hough Forests a…