Brownian motion curve-based textural classification and its application in cancer diagnosis.

@article{Mookiah2011BrownianMC,
  title={Brownian motion curve-based textural classification and its application in cancer diagnosis.},
  author={Muthu Rama Krishnan Mookiah and Pratik Shah and Chandan Chakraborty and Ajoy Kumar Ray},
  journal={Analytical and quantitative cytology and histology},
  year={2011},
  volume={33 3},
  pages={158-68}
}
OBJECTIVE To develop an automated diagnostic methodology based on textural features of the oral mucosal epithelium to discriminate normal and oral submucous fibrosis (OSF). STUDY DESIGN A total of 83 normal and 29 OSF images from histopathologic sections of the oral mucosa are considered. The proposed diagnostic mechanism consists of two parts: feature extraction using Brownian motion curve (BMC) and design ofa suitable classifier. The discrimination ability of the features has been… CONTINUE READING