Search Results for author: Nico Stucki

Found 2 papers, 1 papers with code

Topologically faithful multi-class segmentation in medical images

no code implementations16 Mar 2024 Alexander H. Berger, Nico Stucki, Laurin Lux, Vincent Buergin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold

Topological accuracy in medical image segmentation is a highly important property for downstream applications such as network analysis and flow modeling in vessels or cell counting.

Image Segmentation Medical Image Segmentation +2

Topologically faithful image segmentation via induced matching of persistence barcodes

1 code implementation28 Nov 2022 Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern Menze, Ulrich Bauer

In this work, we propose the first topologically and feature-wise accurate metric and loss function for supervised image segmentation, which we term Betti matching.

Image Segmentation Segmentation +1

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