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Transformer model achieves high accuracy in MS choroid plexus segmentation

Researchers have developed a new SwinUNETR-based pipeline for segmenting the choroid plexus in multiple sclerosis patients, achieving a Dice Similarity Coefficient (DSC) of 0.868. This method significantly outperforms the 3D UXNET model, particularly when using only FLAIR inputs, and drastically reduces computational load by 99%. The approach utilizes localized patch sampling for efficient and accurate segmentation, making it suitable for widespread clinical and research applications. AI

IMPACT Offers a more efficient and accurate method for medical image segmentation, potentially accelerating research and clinical applications in multiple sclerosis.

RANK_REASON The cluster contains an academic paper detailing a new methodology and benchmark results for a specific medical imaging task.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Transformer model achieves high accuracy in MS choroid plexus segmentation

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Po-Jui Lu, Alessandro Cagol, Mario Ocampo-Pineda, Federico Spagnolo, Marina Mastantuono, Andreea-Alexandra Aldea, Jannis M\"uller, \"Ozg\"ur Yaldizli, Matthias Weigel, Lester Melie-Garcia, Roberta Magliozzi, Maria Pia Sormani, Ludwig Kappos, Jens Kuhle, … ·

    Efficient Transformer-Based Localized Patch Sampling for Choroid Plexus Segmentation in Multiple Sclerosis

    arXiv:2606.03566v1 Announce Type: cross Abstract: Background: The lateral ventricle choroid plexus (LVCP) is gaining recognition as a key imaging biomarker for multiple sclerosis (MS) related to physical disability and neuroinflammation. Yet, manual segmentation of the LVCP is hi…

  2. arXiv cs.CV TIER_1 English(EN) · Cristina Granziera ·

    Efficient Transformer-Based Localized Patch Sampling for Choroid Plexus Segmentation in Multiple Sclerosis

    Background: The lateral ventricle choroid plexus (LVCP) is gaining recognition as a key imaging biomarker for multiple sclerosis (MS) related to physical disability and neuroinflammation. Yet, manual segmentation of the LVCP is highly tedious, restricting its use in broad clinica…