Histological stain evaluation for machine learning applications

Aims: A methodology for quantitative comparison of histological stains based on their classification and clustering performance, which may facilitate the choice of histological stains for automatic pattern and image analysis. Background: Machine learning and image analysis are becoming increasingly...

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Bibliographic Details
Main Authors: Jimmy C Azar (Author), Christer Busch (Author), Ingrid B Carlbom (Author)
Format: Book
Published: Elsevier, 2013-01-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
Copy 1 Available