1 citations · 1 across the 3 of their papers we have counts for
3 papers
DaCapo: a modular deep learning framework for scalable 3D image segmentation
William Patton, Jeff L. Rhoades, Marwan Zouinkhi +9
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…
Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
Steffen Wolf, Manan Lalit, Henry Westmacott +2
Segmentation of objects in microscopy images is required for many biomedical applications. We introduce object-centric embeddings (OCEs), which embed image patches such that the sp…
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages
Peter Hirsch, Caroline Malin-Mayor, Anthony Santella +3
Tracking all nuclei of an embryo in noisy and dense fluorescence microscopy data is a challenging task. We build upon a recent method for nuclei tracking that combines weakly-super…