Microglia cell segmentation using a hand-crafted method capable of handling high noise levels in image data

Georg Wimmer; Ibrahim Khan; Lara Sophie Bieler; Sébastien Couillard-Després; Andreas Uhl; Bruno Benedetti

Microglia cell segmentation using a hand-crafted method capable of handling high noise levels in image data

Institute of Experimental Neuroregeneration

Paris Lodron University Salzburg
Artificial Intelligence and Human Interfaces, Dept of Computer Sciences, Paris Lodron University Salzburg

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	5th Eurographics Symposium on Visual Computing for Biology and Medicine (VCBM'25)
Publication status	Published - 2025

Access to Document

https://diglib.eg.org/items/2cfe9ead-edc1-4f6e-aaa6-572780a2f5d5

Cite this

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title = "Microglia cell segmentation using a hand-crafted method capable of handling high noise levels in image data",

author = "Georg Wimmer and Ibrahim Khan and Bieler, \{Lara Sophie\} and S{\'e}bastien Couillard-Despr{\'e}s and Andreas Uhl and Bruno Benedetti",

note = "alle au{\ss}er Wimmer und Uhl: Paracelsus Medical University, Institute of Experimental Neuroregeneration, Strubergasse 21, Salzburg, 5020, Austria",

year = "2025",

language = "English",

booktitle = "5th Eurographics Symposium on Visual Computing for Biology and Medicine (VCBM'25)",

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TY - CHAP

T1 - Microglia cell segmentation using a hand-crafted method capable of handling high noise levels in image data

AU - Wimmer, Georg

AU - Khan, Ibrahim

AU - Bieler, Lara Sophie

AU - Couillard-Després, Sébastien

AU - Uhl, Andreas

AU - Benedetti, Bruno

N1 - alle außer Wimmer und Uhl: Paracelsus Medical University, Institute of Experimental Neuroregeneration, Strubergasse 21, Salzburg, 5020, Austria

PY - 2025

Y1 - 2025

M3 - Chapter

BT - 5th Eurographics Symposium on Visual Computing for Biology and Medicine (VCBM'25)

ER -