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Co-authored-by: Pierre Rougé <[email protected]>
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maylis-j and PierreRouge authored Jan 15, 2025
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Expand Up @@ -23,7 +23,7 @@ pdf: "https://papers.miccai.org/miccai-2024/paper/2191_paper.pdf"

Developping models which can run on **limited resources** is one of the challenges in the medical field to guarantee **health equity**.
Those **lightweight** models usually try to work on a reduced number of parameters and computation complexity. For the segmentation task however,
the existing methods produce results with lower quality than their non-lightweight counterparts due to the a lower representation capacity.
the existing methods produce results with lower quality than their non-lightweight counterparts due to a lower representation capacity.

There is therefore a need to develop lightweight models which also improve the segmentation quality.

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