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

Computerized Medical Imaging and Graphics

Volumn 57, Issue , 2017, Pages 50-61

  Janowczyk, Andrew ^a   Basavanhally, Ajay ^b   Madabhushi, Anant ^a  

^a CASE WESTERN RESERVE UNIVERSITY   (United States)

^b Inspirata Inc   (United States)

Author keywords

Deep learning; Digital histopathology; Image processing; Stain Normalization

Indexed keywords

COLOR; IMAGE PROCESSING; STANDARDIZATION;

AUTOENCODERS; COLOR DISTRIBUTION; COMPUTER AIDED DIAGNOSTICS; DEEP LEARNING; DIGITAL HISTOPATHOLOGY; DIGITAL PATHOLOGIES; STAIN NORMALIZATION; TEMPLATE IMAGES;

LEARNING SYSTEMS;

ALGORITHM; ARTICLE; BREAST BIOPSY; COLOR; COMPUTER ASSISTED DIAGNOSIS; DIGITAL IMAGING; DIGITAL PATHOLOGY; HISTOGRAM; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INTESTINE BIOPSY; PRIORITY JOURNAL; STAIN NORMALIZATION USING SPARSE AUTOENCODER; STAINING; STANDARDIZATION; STOMACH BIOPSY; BIOPSY; BREAST; DIAGNOSTIC IMAGING; HISTOLOGY; IMAGE PROCESSING; MACHINE LEARNING; PATHOLOGY; PROCEDURES; VALIDATION STUDY;

BIOPSY; BREAST; COLOR; DIAGNOSIS, COMPUTER-ASSISTED; HISTOLOGICAL TECHNIQUES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; PATHOLOGY, CLINICAL; STAINING AND LABELING;

EID: 84978410533     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2016.05.003     Document Type: Article

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