FeatureForest: the power of foundation models, the usability of random forests

FeatureForest: the power of foundation models, the usability of random forests

Abstract Analysis of biological images relies heavily on segmenting the biological objects of interest in the image before performing quantitative analysis. Deep learning (DL) is ubiquitous in such segmentation tasks, but can be cumbersome to apply, as it often requires a large amount of manual labe...

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Main Authors: Mehdi Seifi, Damian Dalle Nogare, Juan Manuel Battagliotti, Vera Galinova, Ananya Kedige Rao, Pierre-Henri Jouneau, Anwai Archit, AI4Life Horizon Europe Programme Consortium, Constantin Pape, Johan Decelle, Florian Jug, Joran Deschamps
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Imaging
Online Access:https://doi.org/10.1038/s44303-025-00089-9
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https://doi.org/10.1038/s44303-025-00089-9

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