H&E Multi-Laboratory Staining Variance Exploration with Machine Learning

H&E Multi-Laboratory Staining Variance Exploration with Machine Learning

In diagnostic histopathology, hematoxylin and eosin (H&E) staining is a critical process that highlights salient histological features. Staining results vary between laboratories regardless of the histopathological task, although the method does not change. This variance can impair the accuracy...

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Bibliographic Details
Main Authors: Fabi Prezja, Ilkka Pölönen, Sami Äyrämö, Pekka Ruusuvuori, Teijo Kuopio
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
H&E
histopathology
machine learning
clustering
rand index
k-means
Online Access:https://www.mdpi.com/2076-3417/12/15/7511

Internet

https://www.mdpi.com/2076-3417/12/15/7511

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