6533b85cfe1ef96bd12bd28a
RESEARCH PRODUCT
MORPHOMETRIC ANALYSIS OF HUMAN CORNEAL ENDOTHELIUM BY MEANS OF SPATIAL POINT PATTERNS
M. E. DíazJ. DomingoGuillermo Ayalasubject
Corneal endotheliumbusiness.industryCentroidPattern recognitionBivariate analysisPoint processMorphometric analysisArtificial IntelligenceCell densityStatisticsPoint (geometry)Statistical analysisComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareMathematicsdescription
This paper presents a method for detecting abnormalities in spatial arrangements of cells within any tissue that can be described by different sets of relevant points. The method has been applied to the detection of subtle abnormalities in corneal endothelia. Images of this type of tissue can be characterized by two types of points: cell centroids and triple points associated with the apical intersections as it was proposed by Díaz.7 Both types of points jointly considered are modeled using a bivariate spatial point process; then a statistical analysis based on certain distributional descriptors proposed by Doguwa4,9 is carried out to discriminate severe and subtle abnormalities from controls. According to the results, the method constitutes a valid alternative to currently used techniques, which involve statistical descriptions of cell density, cell area and hexagonality, that fail in the detection of these subtle abnormalities.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2002-03-01 | International Journal of Pattern Recognition and Artificial Intelligence |