Skip to Main content Skip to Navigation
Conference papers

Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters

Abstract : This paper focuses on the structure and the concept of the framework used in the vesselness filters benchmark that was recently introduced. Vesselness filters are used to detect the presence of vessels in an image. There exists a wide variety of such filters and comparing their respective strengths and weaknesses is a non-trivial task, especially given the different contexts in which they are published. This benchmark was designed to ease such comparison process whereas remaining easy to customize. More specifically, this paper presents the benchmark structure and architecture. It also shows how to integrate new vesselness filters and/or new metrics in the benchmark with the requirements for future comparisons and online demonstrations.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03006138
Contributor : Nicolas Passat Connect in order to contact the contributor
Submitted on : Monday, April 12, 2021 - 2:01:02 PM
Last modification on : Thursday, October 14, 2021 - 1:10:06 PM
Long-term archiving on: : Tuesday, July 13, 2021 - 6:48:30 PM

File

Lamy_RRPR_2021.pdf
Files produced by the author(s)

Identifiers

Citation

Jonas Lamy, Bertrand Kerautret, Odyssée Merveille, Nicolas Passat. Structure, Concept and Result Reproducibility of the Benchmark on Vesselness Filters. Reproducible Research in Pattern Recognition (RRPR), 2021, Milan, Italy. pp.121-135, ⟨10.1007/978-3-030-76423-4_8⟩. ⟨hal-03006138⟩

Share

Metrics

Record views

168

Files downloads

173