Model Checkpoints for StrokeSeg: A Lightweight Tool for Stroke Lesion Segmentation in Clinical Research

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Élise Bannier, I. Bonan, Alessandro Di Matteo, Francesca Galassi, Yann Kerverdo, Stéphanie Leplaideur, Florent Leray, Youwan Mahé
DOI: 10.5281/zenodo.18299920
Cited by: 0

Abstract

This is a sub-acute and chronic stroke lesion segmentation model trained on ATLAS 2.0 (https://rdcu.be/eZH9C) made for integration in the StrokeSeg software (https://github.com/Empenn-Stroke/StrokeSegLab) (.onnx files) or usage with nnUnet v2 (.pth files).

Fields of Study & Subjects

Medical Image Segmentation Techniques Brain Tumor Detection and Classification Acute Ischemic Stroke Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Document type
Dataset