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ASE_Res_UNet for segmenting curvilinear structures — Code supporting Ait Laydi et al. (2026)

Domain:

healthcare

Record type:

software
Creator:
AitBouEl
Editor:
AitCueCreEl
Publisher:
Zenodo
Host:avatar

This code supports the paper by Ait Laydi et al. (2026). It enables to build the ASE_Res_UNet architecture, which was developed to segment curvilinear structure in microscopy or biomedical images.

Please cite the reference below when using the code:

Ait Laydi et al., “A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images”, 2026. BioRxiv. DOI: 10.1101/2025.10.23.684152

This work was carried out as part of a collaborative project between Hélène Bouvrais from IGDR (CNRS, University of Rennes, France) and Yousef El Mourabit from Tiad Laboratory, FST_BM (Sultan Moulay Slimane University, Morocco). 

Visit

doi.org

Tasks

computer vision

Languages

Akpes

Tags

Image processingDeep learning

Licenses

info:eu-repo/semantics/openAccessCeCILL Free Software License Agreement v2.1http://www.cecill.info/licences/Licence_CeCILL_V2.1-en.html