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pro vyhledávání: '"A.D. Highes"'
Autor:
M. E. Martinez-Perez, A.D. Highes, A.V. Stanton, Anil A. Bharath, S.A. Thorn, Kim H. Parker, Neil Chapman
Publikováno v:
IEEE Transactions on Biomedical Engineering. 49:912-917
A semi-automatic method to measure and quantify geometrical and topological properties of continuous vascular trees in clinical fundus images is described. Measurements are made from binary images obtained with a previously described segmentation pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b732d977a4d6a781e363361c05d19bd
https://doi.org/10.1109/tbme.2002.800789
https://doi.org/10.1109/tbme.2002.800789
Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational fram
