Automated discrimination of pathological regions in tissue images: Unsupervised clustering vs. supervised SVM classification

Communications in Computer and Information Science

Volumn 25 CCIS, Issue , 2008, Pages 344-356

  Di Cataldo, Santa ^a   Ficarra, Elisa ^a   Macii, Enrico ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

immunohistochemistry; K means clustering; Support Vector Machine; tissue confocal images; Tissue segmentation

Indexed keywords

AUTOMATED METHODS; AUTOMATED TECHNIQUES; CANCEROUS CELLS; CONFOCAL IMAGE; DATA SETS; IMMUNOHISTOCHEMICAL ANALYSIS; IMMUNOHISTOCHEMISTRY; K-MEANS CLUSTERING; LUNG CANCER; PATHOLOGICAL TISSUE; PROTEIN ACTIVITY; QUANTITATIVE EVALUATION; SVM CLASSIFICATION; TISSUE IMAGES; TISSUE SEGMENTATION; UNSUPERVISED APPROACHES; UNSUPERVISED CLUSTERING;

AUTOMATION; BIOMEDICAL ENGINEERING; IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES;

TISSUE;

EID: 77955994630     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-92219-3_26     Document Type: Conference Paper

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