6533b86dfe1ef96bd12c9713

RESEARCH PRODUCT

Texture analysis and optical anisotropy measurements of leukocytes for early diagnostics of diabetes mellitus

J. ButikovaT. FreivaldsLeonardo Bocchi

subject

Materials scienceOptical anisotropybusiness.industryDNA damagePattern recognitionOptical densitymedicine.diseasePatient diagnosisImage textureDiabetes mellitusInsulin dependent diabetesmedicineComputer visionArtificial intelligencebusinessCellular biophysics

description

DNA damage had been suggested to contribute to the pathogenesis of insulin dependent diabetes mellitus (IDDM). In this work we present a method for detection and discrimination of such DNA changes by means of analysis of light microscope images of anisotropically stained leukocytes nuclei. Several features of the images have been evaluated, including integrated optical density, degree of polarisation, and textural features. A genetic algorithm, coupled with a neural classifier, has been used to find the best features for identification of the pathology. Reported results indicate the best set is able to achieve an 83% correct classification ratio.

yearjournalcountryeditionlanguage
2004-06-21Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
https://doi.org/10.1109/icip.2003.1247154