Version 1.0

Benchmark for Automatic Glottis Segmentation (BAGLS)

Gómez, Pablo;Kist, Andreas M;Schlegel, Patrick;Berry, David A;Chhetri, Dinesh K;Dürr, Stephan;Echternach, Matthias;Johnson, Aaron M;Kunduk, Melda;Maryin, Youri;Schützenberger, Anne;Verguts, Monique;Döllinger, Michael

Description

BAGLS is a benchmark dataset intended to compare performance across automatic glottis segmentation methods.

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Metrics

Dataset Index

1.9

FAIR Score

77%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.5281/zenodo.3666280

Publisher

Zenodo

Assigned Domain

Subfield

Physiology

Field

Medicine

Domain

Health Sciences

Confidence Score

98%

Source

Open Alex

Keywords

high-speed videoendoscopyglottissegmentationbenchmark

Normalization Factors

13.46

CTw

1.00

MTw

1.00