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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
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Claim

Dataset for segmentation of multiple histopathology findings in rat liver

Research datakeyboard_double_arrow_right Dataset 12 Oct 2023 English Publisher:Zenodo
Authors: Cho, Jae-Woo;

doi: 10.5281/zenodo.8423742 , 10.5281/zenodo.8423741

Dataset for segmentation of multiple histopathology findings in rat liver

Abstract

Dataset_HistoPathology_DILIscreening_KIT folder - Histology images from rat tox study in Korea Institute of Toxicology (KIT) - Dataset for detecting multiple findings and normal features such as infiltration, inflammation, fibrosis, necrosis, vacuolation, portal triad, or connective tissue to screen drug-induced liver injury. - Each folders include about 1000 images and a json file. - Images are 448 by 448 pixel jpg format and 20X microscopic magnification. - A json file has coordinate information about every image and prepared for segmentation algorithm training. CropSlideImages_for_Inference folder - 5 images for inference test. - Image info: 10752 by 10752 pixel, jpg format, 20X magnification

Grants: 20183MFDS411 from Korea Food and Drug Administration, 1711195890 from the Korea Institute of Toxicology, Republic of Korea

Related Organizations
Keywords

DILI, Multiple findings, Segmentation algorithm, Liver, Toxicologic pathology

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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