Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry

Comparison of Semi-Quantitative Scoring and Artificial Intelligence Aided Digital Image Analysis of Chromogenic Immunohistochemistry

Semi-quantitative scoring is a method that is widely used to estimate the quantity of proteins on chromogen-labelled immunohistochemical (IHC) tissue sections. However, it suffers from several disadvantages, including its lack of objectivity and the fact that it is a time-consuming process. Our aim...

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Bibliographic Details
Main Authors: János Bencze, Máté Szarka, Balázs Kóti, Woosung Seo, Tibor G. Hortobágyi, Viktor Bencs, László V. Módis, Tibor Hortobágyi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Biomolecules
Subjects:
artificial intelligence (AI)
digital image analysis
immunohistochemistry
semi-quantitative scoring
Online Access:https://www.mdpi.com/2218-273X/12/1/19

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