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

Published: 19 November 2021| Version 1 | DOI: 10.17632/rpbz266jn9.1
Contributors:
Tianyuan Yao,
,

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

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