UNIVERSITAT POLITECNICA DE CATALUNYA;MAX-PLANCK-GESELLSCHAFT ZUR FÖRDERUNG
发明人:
Pablo AMIL MARLETTI,Cristina MASOLLER,Elena ARRONDO MURILLO,Ulrich PARLITZ,Cecilia SALINAS ALMELA
申请号：
US16772097
公开号：
US20200305706A1
申请日:
2017.12.11
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The method comprises storing a set of images captured of the anterior chamber of various eyes, and using a processor for: a) processing some of said stored images by implementing an homogenization process that adjusts an horizontal and a vertical spatial resolution of each image of the set to be the same, and a centering and aligning process that computes statistical properties of the images, and uses said computed statistical properties to compute a centroid and a covariance matrix of each image； b) performing pair-wise distance measures between images of said processed images providing a pair-wise distance matrix； c) analyzing said pair-wise distance matrix by executing a nonlinear dimensionality reduction algorithm that assigns a point in an n-dimensional space associated to each analyzed image； and d) outputting the results of said analysis in a visual way enabling being usable to detect if said eyes suffer from glaucoma.
