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A Novel Wavelet Neural Network Based Pathological Stage Detection Technique For an Oral Precancerous Condition

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Title A Novel Wavelet Neural Network Based Pathological Stage
Detection Technique For an Oral Precancerous Condition
 
Creator Paul, R R
Mukherjee, A
Dutta, P K
Banerjee, S
Pal, M
Chatterjee, J
Chaudhuri, Keya
Mukherjee, K
 
Subject Molecular & Human Genetics
 
Description Cancers of the oral cavity are increasing at an alarming
rate and have been reported to account for approximately
220 000 new cases each year for men (5% of all
cancers) and about 90 000 for women (2% of all cancers).1
Two third of these cases are recorded in developing countries. A high incidence of oral cancer is seen in the Indian subcontinent as a result of the late diagnosis of potential precancerous lesions and conditions. Oral submucous fibrosis (OSF) is an insidious chronic progressive precancerous condition of the oral cavity and oropharynx with a high degree of malignant potential.2 A large proportion of these precancerous lesions convert to squamous cell carcinoma, the malignant transformation rate being in the order of 7.6%.2 OSF is prevalent in the Indian subcontinent in all age groups and across all socioeconomic strata, but the incidence exhibits regional and interregional variations (0.2–4.57%), being highest in Southern India.2 This disease is now a public
health issue in many parts of the world including the UK,3
South Africa,4 and many southeast Asian countries.5 6
 
Date 2005
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://www.eprints.iicb.res.in/1139/1/JOURNAL_OF_CLINICAL_PATHOLOGY%2C_58_(9)%2C_932%2D938_[29].pdf
Paul, R R and Mukherjee, A and Dutta, P K and Banerjee, S and Pal, M and Chatterjee, J and Chaudhuri, Keya and Mukherjee, K (2005) A Novel Wavelet Neural Network Based Pathological Stage Detection Technique For an Oral Precancerous Condition. Journal of Clinical Pathology, 58 (9). pp. 932-938.
 
Relation http://dx.doi.org/10.1136/jcp.2004.022095
http://www.eprints.iicb.res.in/1139/