Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology

•Digital histopathology slides have many sources of variance.•These variances can cause algorithms to perform erratically.•Stain Normalization using Sparse AutoEncoders (StaNoSA) in introduced.•It standardizes color distributions of a test image to a single template image.•Validated using three expe...

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Veröffentlicht in:	Computerized medical imaging and graphics Jg. 57; S. 50 - 61
Hauptverfasser:	Janowczyk, Andrew, Basavanhally, Ajay, Madabhushi, Anant
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.04.2017 Elsevier Science Ltd
Schlagworte:	Algorithms Biopsy - methods Breast - diagnostic imaging Color Deep learning Diagnosis, Computer-Assisted - methods Diagnostic systems Digital histopathology Histological Techniques Histopathology Humans Image processing Image Processing, Computer-Assisted - methods Internal Medicine Machine Learning Other Pathology, Clinical - methods Stain Normalization Staining and Labeling - methods Standardization Digital histopathology Deep learning Stain Normalization Image processing
ISSN:	0895-6111, 1879-0771, 1879-0771
Online-Zugang:	Volltext
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