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