Automatic screening of cervical cells using block image processing

BioMedical Engineering Online

Volumn 15, Issue 1, 2016, Pages

  Zhao, Meng ^a   Wu, Aiguo ^a   Song, Jingjing ^b   Sun, Xuguo ^b   Dong, Na ^a  

^a TIANJIN UNIVERSITY   (China)

^b TIANJIN MEDICAL UNIVERSITY   (China)

Author keywords

Block image processing; Cervical cells screening; Computational complexity; Features selection; SVM

Indexed keywords

ALGORITHMS; CELLS; COMPUTATIONAL COMPLEXITY; CYTOLOGY; DEVELOPING COUNTRIES; DIAGNOSIS; DISEASES; FEATURE EXTRACTION; IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES;

CERVICAL CELLS; CLINICAL APPLICATION; COLOR HISTOGRAM FEATURES; CONVENTIONAL ALGORITHMS; DIRECTIVE SIGNIFICANCE; FEATURES SELECTION; SEGMENTATION METHODS; SUPPORT VECTOR MACHINE CLASSIFIERS;

IMAGE PROCESSING;

AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE PROCESSING; MASS SCREENING; MOLECULAR IMAGING; PATHOLOGY; PROCEDURES; SUPPORT VECTOR MACHINE; UTERINE CERVICAL NEOPLASMS; UTERINE CERVIX;

AUTOMATION; CERVIX UTERI; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MASS SCREENING; MOLECULAR IMAGING; SUPPORT VECTOR MACHINE; UTERINE CERVICAL NEOPLASMS;

EID: 84958183949     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/s12938-016-0131-z     Document Type: Article

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