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@inbook{1318626,
author = {Kozubek, Michal},
address = {Berlin},
booktitle = {Focus on Bio-Image Informatics},
doi = {http://dx.doi.org/10.1007/978-3-319-28549-8_9},
editor = {DeVos WH, Munck S, Timmermans JP},
keywords = {bioimaging; image analysis; benchmark; challenge},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Berlin},
isbn = {978-3-319-28547-4},
pages = {231-262},
publisher = {Springer},
title = {Challenges and Benchmarks in Bioimage Analysis},
url = {http://dx.doi.org/10.1007/978-3-319-28549-8_9},
year = {2016}
}
TY - CHAP
ID - 1318626
AU - Kozubek, Michal
PY - 2016
TI - Challenges and Benchmarks in Bioimage Analysis
VL - Advances in Anatomy, Embryology and Cell Biology 219
PB - Springer
CY - Berlin
SN - 9783319285474
KW - bioimaging
KW - image analysis
KW - benchmark
KW - challenge
UR - http://dx.doi.org/10.1007/978-3-319-28549-8_9
L2 - http://dx.doi.org/10.1007/978-3-319-28549-8_9
N2 - Similar to the medical imaging community, the bioimaging community has recently realized the need to benchmark various image analysis methods to compare their performance and assess their suitability for specific applications. Challenges sponsored by prestigious conferences have proven to be an effective means of encouraging benchmarking and new algorithm development for a particular type of image data. Bioimage analysis challenges have recently complemented medical image analysis challenges, especially in the case of the International Symposium on Biomedical Imaging (ISBI). This review summarizes recent progress in this respect and describes the general process of designing a bioimage analysis benchmark or challenge, including the proper selection of datasets and evaluation metrics. It also presents examples of specific target applications and biological research tasks that have benefited from these challenges with respect to the performance of automatic image analysis methods that are crucial for the given task. Finally, available benchmarks and challenges in terms of common features, possible classification and implications drawn from the results are analysed.
ER -
KOZUBEK, Michal. Challenges and Benchmarks in Bioimage Analysis. Online. In DeVos WH, Munck S, Timmermans JP. \textit{Focus on Bio-Image Informatics}. Berlin: Springer, 2016, p.~231-262. Advances in Anatomy, Embryology and Cell Biology 219. ISBN~978-3-319-28547-4. Available from: https://dx.doi.org/10.1007/978-3-319-28549-8\_{}9.
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