ASE_Res_UNet for segmenting curvilinear structures — Code supporting Ait Laydi et al. (2026)
Domaine:
healthcareType de record:
software
Créateur:
AitBouEl
Éditeur:
AitCueCreEl
Éditeur:
Hôte:
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).
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