1 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
PhenoBench: A Comprehensive Benchmark for Cell Phenotyping
Claudia Winklmayr, Jerome Luescher, Nora Koreuber +6
Digital pathology has seen the advent of a wealth of foundational models (FM), yet to date their performance on cell phenotyping has not been benchmarked in a unified manner. We th…
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…
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…
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija +2
We study the quadratic assignment problem, in computer vision also known as graph matching. Two leading solvers for this problem optimize the Lagrange decomposition duals with sub-…