Mining textural knowledge in biological images: Applications, methods and trends

Computational and Structural Biotechnology Journal

Volumn 15, Issue , 2017, Pages 56-67

  Di Cataldo, Santa ^a   Ficarra, Elisa ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

Bioimaging; Deep learning; Feature encoding; Textural analysis; Textural features extraction; Texture classification

Indexed keywords

CHEMICAL ANALYSIS; DEEP LEARNING; DIAGNOSIS; ENCODING (SYMBOLS); EXTRACTION; GRADING; HISTOLOGY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE TEXTURE; SIGNAL ENCODING; TISSUE;

BIO-IMAGING; DEEP LEARNING; ENCODINGS; FEATURE ENCODING; FEATURES EXTRACTION; TEXTURAL ANALYSIS; TEXTURAL FEATURE; TEXTURAL FEATURE EXTRACTION; TEXTURE ANALYSIS; TEXTURE CLASSIFICATION;

BIOIMAGING;

COMPUTER ANALYSIS; DATA MINING; FRACTAL ANALYSIS; HUMAN; IMAGE RETRIEVAL; IMAGE SEGMENTATION; INFORMATION PROCESSING; LEARNING; MICROSCOPY; PATTERN RECOGNITION; PRIORITY JOURNAL; REVIEW; TEXTURAL FEATURE EXTRACTION; TEXTURE ANALYSIS;

EID: 85003481017     PISSN: None     EISSN: 20010370     Source Type: Journal    
DOI: 10.1016/j.csbj.2016.11.002     Document Type: Review

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