0000000001258598
AUTHOR
Fabrice Meriaudeau
Computer Aided Design for Diabetic Retinopathy
International audience; Computer aided diagnosis and follow up can help in prevention and treatment of diabetes and its related complications. This paper presents a summary of the results we obtained over the last few years regarding the development of a CAD system for diabetic retinopathy. We present a methodology for diagnosis of DME based on exudates segmentation, as well as an automated detection of micro-aneurysm (MA) and DR diagnosis; Our approach uses standard available public database and shows a high power of generalization through cross database experiments.
Automatic Detection of Cerebral Microbleed in SWI Using Radon Transform
International audience; Since presence and number of cerebral microbleeds (CMBs) have come to attention as a potential biomarker, an automated scheme to improve visualization is required. In this work, a new approach of CMB identification in SWIs is presented and compared to visual rating. The method relies on two main steps: a 3D anisotropic multi-scale approach that extracts size and centre of all potential CMBs within the image, and feature extraction using the Radon Transform for final classification using a random forest classifier. The novelty of the technique consists in combining Radon transform and multiscale analysis to obtain robust feature descriptors.
Supervised Learning Framework of Statistical Shape and Probability Priors for Automatic Prostate Segmentation in Ultrasound Images
International audience
Non conventional Imaging Systems for 3D Digitization of transparent and/or specular manufactured objects
International audience; 3D scanning has been investigated for several years and most of the proposed approaches assume a diffuse or near diffuse reflectance of the object's surface, also called cooperative surfaces. For the case of "non cooperative surfaces", such as transparent objects or mirror-like surfaces, usually, a thin layer of powder is sprayed onto the object surface (to make it opaque and diffuse) prior to its digitization. This extra step is troublesome, time consuming (the object needs to be cleaned afterwards), and the final accuracy is often dependent on the powder thickness and its homogeneousness. To avoid this step, various methods have been investigated over the last few …
Filtrage physiquement admissible des images codées en polarisation moyennant un parcours fractal de type Peano-Hilbert
International audience; L'existence du bruit est inhérente aux systèmes imageurs. Causé par différents mécanismes, sa présence dégrade en général l'interprétation des données et peut dans le cas de l'imagerie polarimétrique nuire au caractère physique des mesures. Il convient donc de l'éliminer de manière à garder présente l'admissibilité physique des images polarimétriques afin de tirer pleinement profit de leur richesse informationnelles. Une méthode de filtrage paramétrique est proposée dans ce papier. Cette méthode repose sur une combinaison de deux techniques fréquemment utilisées en filtrage d'images multispectrales ; le Scatter plot est le masquage des données, sur lesquelles une vec…
European Programs and their Extension in the field of Computer Vision, Color and Robotics
International audience; Over the last 4 years, the University of Burgundy (uB) has intensified its international oriented actions in the field of Computer Vision and Robotics through further development of the educational network, partnerships, programs and communication. The creation of European programs, such as the Erasmus Mundus program and the Thematic Networks (Life Long Learning) allowed us to develop new programs, building up valuable academic and project administration experience as well as developing new actions for incoming foreign students. In this paper we describe some of our activities and those of the University of Saint Etienne (UJM) and University of Genova (UNIGE), and th…
Studying the Response of Drivers against Different Collision Warning Systems: A Review
International audience; The number of vehicle accidents is rapidly increasing and causing significant economic losses in many countries. According to the World Health Organization, road accidents will become the fifth major cause of death by the year 2030. To minimize these accidents different types of collision warning systems have been proposed for motor vehicle drivers. These systems can early detect and warn the drivers about the potential danger, up to a certain accuracy. Many researchers study the effectiveness of these systems by using different methods, including Electroencephalography (EEG). From the literature review, it has been observed that, these systems increase the drivers' …
A Machine Learning Approach for Computer-Aided Detection of Cerebral Microbleed Using High-order Shape Features
International audience; This paper presents a novel machine learning approach for computer-aided detection of microbleeds in SWI. The major contributions are: identifying microbleed extent in order to extract proper cubic regions-of-interest (ROI) containing the structure, (2) extracting a set of robust 3- dimensional (3D) Radon- and Hessian-based shape descriptors within the ROIs as well as 2D Radon features computed on intensity-projection images of the corresponding ROIs, and (3) incorporating a cascade of random forests (RF) classifiers to iteratively reduce false detection rates while maintaining a high sensitivity.
Validating Retinal Fundus Image Analysis Algorithms: Issues and a Proposal
International audience