title: A probabilistic approach to quantification of melanin and hemoglobin content in dermoscopy images.
abstract: We describe a technique that employs the stochastic Latent Topic Models framework to allow quantification of melanin and hemoglobin content in dermoscopy images. Such information bears useful implications for analysis of skin hyperpigmentation, and for classification of skin diseases. The proposed method outperforms existing approaches while allowing for more stringent and probabilistic modeling than previously.
authors.forename: Ali
authors.initials: A
authors.lastname: Madooei
authors.forename: Mark S
authors.initials: MS
authors.lastname: Drew
mesh_terms: D014408:Biomarkers, Tumor / Q000378:metabolism; D003627:Data Interpretation, Statistical; D046169:Dermoscopy / Q000379:methods*; D006454:Hemoglobins / Q000378:metabolism*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008543:Melanins / Q000378:metabolism*; D057054:Molecular Imaging / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000175:diagnosis* / Q000378:metabolism*
chemical_list: D014408:Biomarkers, Tumor; D006454:Hemoglobins; D008543:Melanins