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Segmentation of gliomas in magnetic resonance imaging (MRI) images is a crucial task for early tumor diagnosis and surgical planning. Although many methods for brain tumor segmentation exist, the improvement of this process is still difficult. Indeed, MRI images show complex characteristics and the different tumor tissues are difficult to distinguish from the normal brain tissues; especially the low-grade...
Hyperspectral sensors (HS) are next-generation optical sensors that have excellent spectroscopic performance with hundreds of spectral bands. Multispectral sensors (MS) are conventional optical sensors that have a few tens of spectral bands with high spatial resolution. This work aims to combine, the spectral information of the hyperspectral image with the spatial and spectral information of the multispectral...
The instrumentation and physiological patient factors bound to the patient in-vivo complicate the treatment of the images during a medical examination. Thus, they can contribute to the generation of artifacts in the resulting images.
This paper develops a noise-robust processing method which can be used to enhance the classification of remotely sensed hyperspectral images. The method first illustrates the benefit of boosting the classical classifiers by exploiting the capability of belief functions. The evidential approach is adopted to produce a map which is approximately insensitive to the noise accompanying the original hyperspectral...
In medicine, diagnostic reasoning refers to the approaches used by physicians with the aim of achieving a medical diagnosis concerning a given patient. This paper presents a new approach of medical decision support systems. The proposed approach is based on the use of possibility theory as a global framework, including knowledge representation (as a possibilistic pair of measures: Necessity, Possibility);...
A novel approach for digital mammograms segmentation is proposed. This approach aims to segment the mammograms using an iterative fusion process of information obtained from multiple sources of knowledge (contextual, image processing algorithm, a priori knowledge, etc). Initial Fuzzy Membership Maps (IFMMs) of different thematic classes are first estimated using available information. These IFMM's...
In Technitium-99m myocardial perfusion SPECT (MPS) tomograms, there is usually a substantial radioactive tracer uptake in the abdominal organs, especially the liver, bowel and stomach. This extracardiac activity frequently emerges as areas of intense brightness or hotspots, which hamper efforts in automatic MPS quantification. Though it would be favourable to remove the hotspots, their multitudinous...
An approach that aims to reveal and to explain the pattern of information potentially present in a dataset consisting of n objects by ordering them using the possibility-based Robinsonian similarity matrix is proposed. The similarity is estimated between objects containing imperfect and heterogeneously-assigned data. A graph-based model is proposed to visualize these patterns. This method is applied...
In this paper, we present a new system for interactively calibration algorithm validate by registering three-dimensional US and three-dimensional magnetic resonance imaging (MRI) to explore atheromatous lesions in carotid. This registration becomes to validate calibration process of US probe, which is based on alignment of US and MR image. This calibration is based on electromagnetic system called...
Mining the growing data issued from the interpretation of remotely sensed images to obtain the necessary information for land cover change studies becomes more difficult and makes the data volume problem particularly acute. Mitigating this problem requires using data efficiently as metadata for mining and selecting appropriate data for change studies. In this paper, we propose an integrate hierarchical...
The sonar is a technique used to observe the underwater scene over large distances. The active sonar is mainly used for imaging or for bathymetry. With the modern sonar both uses are now possible. To form a high resolution three dimensional image, an active side-scan sonar is used. To develop algorithms in order to obtain an image, we need experimental data. One of the difficulties in the analysis...
Large amounts of spatial data are becoming available today due to the rapid development of remote sensing techniques. Several retrieval systems are proposed to retrieve necessary, interested and effective information such as key-word based image retrieval and content based image retrieval. However, the results of these approaches are generally unsatisfactory, unpredictable and don't match human perception...
Mono modal biometric systems encounter a variety of security problems and present sometimes unacceptable error rates. Some of these drawbacks can be overcome by setting up multimodal biometric systems. Multimodal biometrics consists in combining two or more biometric modalities in a single identification system to improve the recognition accuracy. However features of different biometrics have to be...
Telemedicine and more largely e-health should be considered as one of the strategic components in the national health care system since this assists the delivery of equitable health-care and the accessibility of specific skills. Through telemedicine patients can get access to medical expertise that may not be able at the patient's site. Advanced technology such as informatics, medical imaging, robotics,...
Clinical assessment of venous thrombosis (VT) is essential to evaluate the risk of size increase or embolism. Analyses like echogenecity and echostructure characterization, examine ancillary evidence to improve diagnosis. However, such analyses are inherently uncertain and operator dependent, adding enormous complexity to the task of indexing diagnosed images for medical practice support, by retrieving...
In this work, we present a new fusion method that uses fuzzy set theory. This method is applied to the diagnostic system rule bases. It aims at combining all the rule bases into only one rule base and then taking into consideration the characteristics of this base. The fusion method is characterized by a hybrid fusion which combines rule fusion approach with knowledge fusion approach. Knowledge fusion...
Monitoring changes in the vegetation cover during the intercrop season is of a special interest in intensive agricultural regions. The presence of bare soils leads to detrimental environmental effects such as soil erosion or water quality degradation. To identify and monitor winter land cover at a regional scale in the Brittany region in France, data from the moderate resolution imaging spectroradiometer...
ONERA radar RAMSES was recently upgraded with low frequency band (P-band, 435 MHz). In P-band, frequencies penetrate through the ground and through forest canopy. Unfortunately, the formation of the subsurface radar images presents a number of new specific challenges that include algorithm validity, calibration methods, radio-frequency interference, and image focusing and analysis. This paper addresses...
Space-time adaptive processing (STAP) can improve target detectability in a presence of a ground clutter for airborne radar. Ground clutter echo has a wide spectrum as a result of the radar platform (airplane or satellite) motion. To reject clutter echo and preserve target echo, STAP employs antenna array. Simultaneous filtering in both spatial (angle) and frequency domain can improve performance...
For an interpretation system, a priori knowledge of the observed scene is necessary to identify objects and if necessary to determine their description. These objects are identified by comparing the extracted data from images to an a priori description of the object or object class. Therefore the use of an appropriate knowledge can efficiently reduce the complexity of matching image data to object...
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