Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge
Uzay Macar, Enamundram Naga Karthik, Charley Gros, Andr\'eanne Lemay,, Julien Cohen-Adad

TL;DR
This paper details the pipelines developed for the MICCAI 2021 MS Lesion Segmentation Challenge, including data preprocessing, architecture, and hyperparameters, with publicly available code.
Contribution
It provides a comprehensive description of the segmentation pipelines used in the challenge, highlighting specific preprocessing and model configurations.
Findings
Effective segmentation pipeline described
Open-source code available for reproducibility
Framework can be adapted for similar tasks
Abstract
This paper gives a detailed description of the pipelines used for the 2nd edition of the MICCAI 2021 Challenge on Multiple Sclerosis Lesion Segmentation. An overview of the data preprocessing steps applied is provided along with a brief description of the pipelines used, in terms of the architecture and the hyperparameters. Our code for this work can be found at: https://github.com/ivadomed/ms-challenge-2021.
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Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · COVID-19 diagnosis using AI · AI in cancer detection
