DaCapo: a modular deep learning framework for scalable 3D image segmentation

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arXiv. 2024 Aug 05;. doi: 10.48550/arXiv.2408.02834

DaCapo: a modular deep learning framework for scalable 3D image segmentation Funke LabCellMapScientific Computing

Patton W, Rhoades Jeff, Zouinkhi M, Ackerman DG, Malin-Mayor C, Adjavon D, Heinrich L, Bennett D, Zubov Y, Team CP, Weigel A, Funke J

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Abstract

DaCapo is a specialized deep learning library tailored to expedite the training and application of existing machine learning approaches on large, near-isotropic image data. In this correspondence, we introduce DaCapo's unique features optimized for this specific domain, highlighting its modular structure, efficient experiment management tools, and scalable deployment capabilities. We discuss its potential to improve access to large-scale, isotropic image segmentation and invite the community to explore and contribute to this open-source initiative.

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