A novel wavelet neural network based pathological stage detection technique for an oral precancerous condition.
OBJECTIVE
To describe a novel neural network based oral precancer (oral submucous fibrosis; OSF) stage detection method.


METHODS
The wavelet coefficients of transmission electron microscopy images of collagen fibres from normal oral submucosa and OSF tissues were used to choose the feature vector which, in turn, was used to train the artificial neural network.


RESULTS
The trained network was able to classify normal and oral precancer stages (less advanced and advanced) after obtaining the image as an input.


CONCLUSIONS
The results obtained from this proposed technique were promising and suggest that with further optimisation this method could be used to detect and stage OSF, and could be adapted for other conditions.
Paul
R R
RR
Department of Oral and Maxillofacial Pathology, R Ahmed Dental College and Hospital, Kolkata 700 014, India.
Mukherjee
A
A
Dutta
P K
PK
Banerjee
S
S
Pal
M
M
Chatterjee
J
J
Chaudhuri
K
K
Mukkerjee
K
K
D000465:Algorithms; D003094:Collagen / Q000648:ultrastructure; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008854:Microscopy, Electron; D009062:Mouth Neoplasms / Q000175:diagnosis* / Q000648:ultrastructure; D009367:Neoplasm Staging; D016571:Neural Networks, Computer; D009914:Oral Submucous Fibrosis / Q000175:diagnosis* / Q000473:pathology; D011230:Precancerous Conditions / Q000175:diagnosis* / Q000648:ultrastructure
D003094:Collagen