Glomerulus in multiple stains obtained via large-scale web image mining

Published: 28 February 2023| Version 2 | DOI: 10.17632/rpbz266jn9.2
Contributors:
Tianyuan Yao, Yuankai Huo, Chang Qu

Description

We collected over 10,000 compound figures through the NIH Open-i search engine with the keywords “glomerular OR glomeruli OR glomerulus”. Then we used our compound figure separation network to process all compound images to get over 36,000 glomeruli pathologies obtained by different microscopy or in different stains with a confidence threshold of 0.7. We split the data into 3 classes by different microscopy which are light microscopy, electron microscopy, and fluorescent.

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Institutions

  • Vanderbilt University

Categories

Pathology, Morphological Image Analysis, Renal Glomerulus, Biopsy

Related Links

Article
http://lhncbc.nlm.nih.gov/system/files/pub2012019.pdf
is derived from this dataset

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