PathologyComputers in Biology and MedicinePeer-reviewed
Unsupervised learning for labeling global glomerulosclerosis
Hrafn Weishaupt, Justinas Besusparis, Cleo‐Aron Weis…·Sabine Maria Leh
The paper investigates the feasibility of unsupervised clustering for classifying globally sclerosed versus non-globally sclerosed glomeruli using pre-trained CNN models, achieving over 95% accuracy in most datasets.
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