Other formats:
BibTeX
LaTeX
RIS
@misc{2379877,
author = {Mráz, Radoslav and Štěpka, Karel and Pekár, Matěj and Matula, Petr and Pekár, Stanislav},
doi = {http://dx.doi.org/10.1111/2041-210X.14250},
keywords = {arachnids;arthropods;convolutional neural networks;hierarchical segmentation;image analysis;insects;machine vision;morphological traits},
language = {eng},
institution = {Masarykova univerzita},
organization = {Masarykova univerzita},
title = {MAPHIS - Measuring arthropod phenotypes using hierarchical image segmentations},
url = {https://maphis.fi.muni.cz/},
year = {2023}
}
TY -
ID - 2379877
AU - Mráz, Radoslav - Štěpka, Karel - Pekár, Matěj - Matula, Petr - Pekár, Stanislav
PY - 2023
TI - MAPHIS - Measuring arthropod phenotypes using hierarchical image segmentations
KW - arachnids;arthropods;convolutional neural networks;hierarchical segmentation;image analysis;insects;machine vision;morphological traits
UR - https://maphis.fi.muni.cz/
N2 - MAPHIS is an open-source application allowing users to create hierarchichal segmentations of arthropods, extract various measurements from the generated segmentations and finally export the measurements for further analysis. The application features an automatic segmentation method (with the use of a convolutional neural network) and several interactive tools. Furthermore, through its plugin system users can extend or customize the capabilities of the application.
ER -
MRÁZ, Radoslav, Karel ŠTĚPKA, Matěj PEKÁR, Petr MATULA and Stanislav PEKÁR. \textit{MAPHIS - Measuring arthropod phenotypes using hierarchical image segmentations}. 2023. Available from: https://dx.doi.org/10.1111/2041-210X.14250.
|
