Labelling? Not allowed to stand alone, needs additional modifiers as means various things. Maybe not that relevant here. Anywhere else?

Synonyms
Reference point assignment
Fiducial placement
Seed point selection

MorphoNet

Description

MorphoNet is a novel concept of web-based morphodynamic browser to visualise and interact with complex datasets, with applications in research and teaching. 

MorphoNet offers a comprehensive palette of interactions to explore the structure, dynamics and variability of biological shapes and its connection to genetic expressions. 

By handling a broad range of natural or simulated morphological data, it fills a gap which has until now limited the quantitative understanding of morphodynamics and its genetic underpinnings by contributing to the creation of ever-growing morphological atlases.

Landmark detection DMBL model prediction

Description

This workflow predict landmark positions on images by using DMBL landmark detection models.

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Landmark detection DMBL model training

Description

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

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Landmark detection LC models prediction

Description

This workflow predict landmark positions on images by using LC landmark detection models.

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has function
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Landmark detection LC models training

Description

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

has topic
has function
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Landmark detection MSET models prediction

Description

This workflow predict landmark positions on images by using MSET landmark detection models.

has topic
has function
need a thumbnail

Landmark detection MSET models training

Description

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

has function
need a thumbnail

Pyxit Landmark detection

Description

It is a trainable interest point (anatomical landmarks) detection algorithm. It requires images and interest point coordinates. It can run independantly (using csv files to describe coordinates) or it can be executed using Cytomine.

 

Typical application: Morphometric studies (e.g. in zebrafish/drosphila development)

 

Used in: Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge http://dx.doi.org/10.1109/TMI.2015.2412951 Automatic localization of interest points in zebrafish images with tree-based methods 

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Landmark detection example