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A multi-rater benchmark for perineuronal nets detection and counting in fluorescence microscopy images

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Publication Date:
2021
abstract:
Dataset of fluorescence microscopy images of mice brain slices stained against perineuronal nets (PNNs). The dataset is composed of two subsets: a large single-rater subset (PNN-SR) and a smaller multi-rater subset (PNN-MR). i) PNN-SR consists of 25 images having different sizes ranging from 8184×6163 to 15120×9477 pixels. Among all the images, there are roughly 34k annotated PNNs, varying from a few dozens to some thousand per image, dot-annotated by a single human rater. ii) PNN-MR comprises 12 microscopic images of 2000×2000 pixels representing different portions of a mouse brain, with a total of 2,532 dot-annotated PNNs. The annotation procedure has been performed by seven different raters.
Iris type:
05.10 Dataset
Keywords:
Perineuronal nets; PNN; Cell detection; Cell counting; Fluorescence microscopy; Neuroscience; Neurobiology; Cortex; Brain; Medical image analysis
List of contributors:
Pizzorusso, Tommaso; Mazziotti, Raffaele; Ciampi, Luca; Totaro, Valentino; Amato, Giuseppe; Gennaro, Claudio; Carrara, Fabio
Authors of the University:
AMATO GIUSEPPE
CARRARA FABIO
CIAMPI LUCA
GENNARO CLAUDIO
Handle:
https://iris.cnr.it/handle/20.500.14243/440599
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/440599/137619/prod_467450-doc_183981.md
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URL

https://zenodo.org/record/5567032#.YouQr3VBwex
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