Universitat de Girona
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This thesis presents a SLAM algorithm using a multibeam echosounder, a new 1/2 underwater laser scanner for online 3D perception and two applications of this new laser scanner: inspection and intervention. The SLAM ...
This research work explores the use of the Greedy Geometric Routing (GGR) schemes to solve the scalability problem of the routing systems in Internet-like networks and several families of Data Center architectures. We ...
The presented work focuses on the theoretical and practical aspects concerning the design and development of a formal method to build a mission control system for autonomous underwater vehicles bringing systematic design ...
En aquesta tesi proposem dos esquemes de xarxa amb control d'admissió per al trànsit elàstic TCP amb mecanismes senzills. Ambdós esquemes són capaços de proporcionar throughputs diferents i aïllament entre fluxos, on un ...
A key challenge in autonomous mobile manipulation is the ability to determine in real-time how to safely execute complex tasks when placed in an unknown world. In response to those arising needs in the underwater ...
This work proposes an appearance-based SLAM method whose main contribution is the Feature Stability Histogram (FSH). The FSH is built using a voting schema, if the feature is re-observed, it will be promoted; otherwise it ...
Malignant melanoma is the deadliest of skin cancers and causes the majority of deaths in comparison to other skin-related malignancies. Yet it is the most treatable type of cancer, thanks to its early diagnosis. Subsequently, ...
This thesis deals with the segmentation of brain magnetic resonance imaging applied to multiple sclerosis patients. This disease is characterised by the presence of white matter lesions in this image modality. After a ...
In recent decades, the rapid development of intelligent vehicle and 3D scanning tecnologies has led to a growing interest in applications based on 3D point data processing, with many applications such as augmented reality ...
This thesis is focused on the automated segmentation of the brain structures in magnetic resonance images, applied to multiple sclerosis patients. This disease is characterized by the presence of lesions, which affect the ...
This thesis deals with the detection of new multiple sclerosis (MS) lesions in longitudinal brain magnetic resonance (MR) imaging. This disease is characterized by the presence of lesions in the brain, predominantly in the ...
In this thesis, we have focused on the image pre-processing in order to enhance the image information. The main aspects of this enhancement rely on removing any image noise and correcting any intensity bias induced by the ...
This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual classification may take ...
Malignant melanoma is the rarest and deadliest of skin cancers causing three times more deaths than all other skin-related malignancies combined. Fortunately, in its early stages, it is completely curable, making a total ...
This PhD thesis focuses on the development of deep learning based methods for accurate segmentation of the sub-cortical brain structures from MRI. First, we have proposed a 2.5D CNN architecture that combines convolutional ...
The use of automatic algorithms to detect astronomical sources (stars, galaxies, gas, dust or cosmic rays) becomes of great importance because of the increasing amount of astronomical images and the inefficiency and ...
This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and/or ipsilateral information. As a first step, FFDM images are preprocessed ...
In this thesis we propose a framework for designing, developing, a clinical decision support systems (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), ...
Generally, High Ability or Gifted individuals show spontaneous and natural performance in one or more domains. Thus, a High Ability student is creative, 2/2 curious and motivated to learn new things. Despite this behaviour, ...
In the field of breast cancer imaging, traditional Computer Aided Detection (CAD) systems were designed using limited computing resources and used scanned films (poor image quality), resulting in less robust application ...
