14 citations · 22 across the 11 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CV2024★ 1 cited
Scaling nnU-Net for CBCT Segmentation
Fabian Isensee, Yannick Kirchhoff, Lars Kraemer +3
This paper presents our approach to scaling the nnU-Net framework for multi-structure segmentation on Cone Beam Computed Tomography (CBCT) images, specifically in the scope of the…
cs.CV2024★ 2 cited
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang +50
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified…