Exploring Statistical Models in Dermatological Disorders Identification
Keywords:
Skin Disease, Statistical Mode, HOG, Quality metrics, BGMMAbstract
Amid the numerous diseases to mankind, skin diseases are one such diseases which are usually caused by virus, bacteria, fungus or other organisms. There are chances are spreading of the diseases and therefore timely analysis and identification is at most important so as to minimize further complication. Advances in laser and photonic-based medical technology have helped to identify skin diseases more accurately and rapidly. Characterization plays an important role in helping to classify skin diseases. This work contributes to skin disease research based on HOG feature-based extraction and modelling the output using statistical methods. In this article we have considered Bivariate Gaussian Mixture Model (BGMM). The results derived are tested against benchmark metrics.
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