| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1589363 | Micron | 2012 | 13 Pages |
Abstract
⺠Accurate screening of OSF biopsy images is important for prognosis, treatment planning. ⺠The proposed approach is to grade the oral histopathological tissue sections into normal, OSFWD and OSFD. ⺠An integrated index (OMI) using texture features is proposed to discriminate normal or OSF images. ⺠This system is fast, cast effective and accurate.
Keywords
Severe dysplasiaCISBPNNmild dysplasiaLTEKNNLBPOMIOSFMODMIDGMMHOSk-nearest neighborLocal Binary PatternLinear discriminant analysisLDAComputer assisted diagnosisDecision treeFuzzyOral cancerBack propagation neural networkCADHigher order spectraOral submucous fibrosisGaussian mixture modelhaematoxylin and eosinHistopathologyCarcinoma in situ
Related Topics
Physical Sciences and Engineering
Materials Science
Materials Science (General)
Authors
M. Muthu Rama Krishnan, Vikram Venkatraghavan, U. Rajendra Acharya, Mousumi Pal, Ranjan Rashmi Paul, Lim Choo Min, Ajoy Kumar Ray, Jyotirmoy Chatterjee, Chandan Chakraborty,