Dental caries diagnosis in digital radiographs using back-propagation neural network.

Purpose: An algorithm for diagnostic system with neural network is developed for diagnosis of dental caries in digital radiographs. The diagnostic performance of the designed system is evaluated.

Methods: The diagnostic system comprises of Laplacian filtering, window based adaptive threshold, morphological operations, statistical feature extraction and back-propagation neural network.

Iron deficiency in young children: a risk marker for early childhood caries.

Aim: Evaluate the coexistence of iron deficiency and early childhood caries.Evaluate whether iron deficiency can be considered as a risk marker for early childhood caries.Estimate the incidence of iron deficiency in children with early childhood caries.