Automated oral cancer identification using histopathological images: A hybrid feature extraction paradigm

Micron

Volumn 43, Issue 2-3, 2012, Pages 352-364

  Krishnan, M Muthu Rama ^b   Venkatraghavan, Vikram ^a   Acharya, U Rajendra ^b   Pal, Mousumi ^c   Paul, Ranjan Rashmi ^c   Min, Lim Choo ^b   Ray, Ajoy Kumar ^a   Chatterjee, Jyotirmoy ^a   Chakraborty, Chandan ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c Guru Nanak Institute of Dental Sciences and Research   (India)

Author keywords

Fuzzy; Higher Order Spectra; Histopathology; Laws mask; Local Binary Pattern; Oral Submucous Fibrosis

Indexed keywords

FUZZY; HIGHER ORDER SPECTRUM; HISTOPATHOLOGY; LAWS MASKS; LOCAL BINARY PATTERNS; ORAL SUBMUCOUS FIBROSIS;

CONTENT BASED RETRIEVAL; DECISION TREES; DIAGNOSIS; DISEASES; IMAGE SEGMENTATION; NEURAL NETWORKS; TEXTURES; TISSUE;

FEATURE EXTRACTION;

ADULT; ARTICLE; AUTOMATION; CYTOCHEMISTRY; EARLY DIAGNOSIS; HOSPITALIZATION; HUMAN; IMAGE PROCESSING; INDIA; METHODOLOGY; MOUTH TUMOR; PATHOLOGY;

ADULT; AUTOMATION; EARLY DETECTION OF CANCER; HISTOCYTOCHEMISTRY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INDIA; MOUTH NEOPLASMS; PATHOLOGY; SEVERITY OF ILLNESS INDEX;

EID: 84855239268     PISSN: 09684328     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.micron.2011.09.016     Document Type: Article

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