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Two-stage deep learning networks for diagnosing and staging membranous glomerulonephritis from electron microscopy images
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DOI：10.1016/j.labinv.2026.106141.png)
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Abstract
En 中文
The purpose of this study was to use transmission electron miscroscopy images to develop a deep-learning—based artificial intelligence model to detect and stage membranous glomerulonephritis, a major cause of nephrotic syndrome in adults.
Keywords:
membranous glomerulonephritis
electron microscopy images
deep learning
artificial intelligence
nephrotic syndrome
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