1.
Arch Pediatr
; 27(8): 511-512, 2020 11.
Article
in English
| MEDLINE
| ID: mdl-33011027
Subject(s)
Diabetes Mellitus, Type 1/economics , Health Status Disparities , Healthcare Disparities/economics , Parents , Social Class , Social Determinants of Health/economics , Vulnerable Populations , Biomarkers/blood , Child , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 1/drug therapy , Follow-Up Studies , France , Glycated Hemoglobin/metabolism , Health Services Accessibility/economics , Health Services Accessibility/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Humans , Hypoglycemic Agents/therapeutic use , Poverty , Prospective Studies , Social Determinants of Health/statistics & numerical data
2.
IEEE Trans Syst Man Cybern B Cybern
; 41(4): 1136-48, 2011 Aug.
Article
in English
| MEDLINE
| ID: mdl-21335315
ABSTRACT
In this paper, we propose a new approach for symbol recognition using structural signatures and a Galois lattice as a classifier. The structural signatures are based on topological graphs computed from segments which are extracted from the symbol images by using an adapted Hough transform. These structural signatures-that can be seen as dynamic paths which carry high-level information-are robust toward various transformations. They are classified by using a Galois lattice as a classifier. The performance of the proposed approach is evaluated based on the GREC'03 symbol database, and the experimental results we obtain are encouraging.