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Data from: Improving automated annotation of benthic survey images using wide-band fluorescence
负责人:
关键词:
coral reefs;computer vision;Platygyra;Acropora;Pocillopora;fluorescence;Multi-modal imaging;Stylophora;Faviidae;Deep learning;2015;Millepora;Machine Learning;ecological surveys
DOI:
doi:10.5061/dryad.t4362
摘要:
d each year. Recent automated annotation methods may provide a solution, but reflectance images do not always contain sufficient information for adequate
Data from: Animal Sound Identifier (ASI): software for automated identification of vocal animals
负责人:
Camargo, Ulisses
关键词:
Software Software manual Example data
DOI:
doi:10.5061/dryad.221mq23
摘要:
Automated audio recording offers a powerful tool for acoustic monitoring schemes of bird, bat, frog and other vocal organisms, but the lack
Data from: Automated deep-phenotyping of the vertebrate brain
负责人:
关键词:
Danio rerio;fezf2
DOI:
doi:10.5061/dryad.7j12m
摘要:
d to compare 3D expression patterns, to automatically detect all statistically significant alterations in mutants, and to map them onto a brain atlas. Automated
Data from: Social foraging extends associative odor-food memory expression in an automated learning assay for Drosophila melanogaster
负责人:
关键词:
collective foraging;automated conditioning;social interactions;drosophila melanogaster;associative memory;odor-food learning
DOI:
doi:10.5061/dryad.77hs873
摘要:
e not yet been investigated. Here, we present?an automated learning and memory assay for walking flies that allows?the study of the effect of group size on social interacti
Data from: Automated leaf physiognomic character identification from digital images
负责人:
关键词:
paleobotany;identification;morphology;CLAMP;climate
DOI:
doi:10.5061/dryad.mk4f8
摘要:
os of between 87% and 100%. These results demonstrate that automated image-based identification systems have the potential to improve paleoenvironmental
Data from: Age of heart disease presentation and dysmorphic nuclei in patients with LMNA mutations
负责人:
关键词:
LMNA Mutations;Computer-Assisted Image Analysis;Nuclear Envelope;fluorescence microscopy;Dilated Cardiomyopathy
DOI:
doi:10.5061/dryad.sr595
摘要:
this, we developed a method of automatically segmenting fluorescently stained nuclei in 2D microscopy images and then classifying them as normal or dysmorphic based

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