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

► Accurate screening of OSF biopsy images is important for prognosis, treatment planning. ► The proposed approach is to grade the oral histopathological tissue sections into normal, OSFWD and OSFD. ► An integrated index (OMI) using texture features is proposed to discriminate normal or OSF images. ►...

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Veröffentlicht in:	Micron (Oxford, England : 1993) England : 1993), 2012-02, Vol.43 (2), p.352-364
Hauptverfasser:	Krishnan, M. Muthu Rama, Venkatraghavan, Vikram, Acharya, U. Rajendra, Pal, Mousumi, Paul, Ranjan Rashmi, Min, Lim Choo, Ray, Ajoy Kumar, Chatterjee, Jyotirmoy, Chakraborty, Chandan
Format:	Artikel
Sprache:	eng
Schlagworte:	absorbance Adult Automation - methods biopsy color computers decision support systems Early Detection of Cancer - methods energy fibrosis Fuzzy Higher Order Spectra Histocytochemistry - methods Histopathology Humans Image Processing, Computer-Assisted - methods India Laws mask Local Binary Pattern mouth neoplasms Mouth Neoplasms - diagnosis neural networks Oral Submucous Fibrosis Pathology - methods screening Severity of Illness Index texture tissues
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