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Showing 7 out of a total of 7 results for collection: Departament d'Arquitectura i Tecnologia de Computadors. (0.156 seconds)

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Robust image segmentation applied to magnetic resonance and ultrasound images of the prostate

Ghose, Soumya (Date of defense: 19-10-2012)
Prostate segmentation in trans rectal ultrasound (TRUS) and magnetic resonance images (MRI) facilitates volume estimation, multi-modal image registration, surgical planing and image guided prostate biopsies. The objective ...
Atlas-based segmentation of multiple sclerosis lesions in magnetic resonance imaging

Cabezas Grebol, Mariano (Date of defense: 16-07-2013)
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 ...
Glandular tissue pattern analysis through multimodal MRI-mammography registration

García Marcos, Eloy (Date of defense: 05-04-2018)
Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging ...
Automated methods on magnetic resonance brain imaging in multiple sclerosis

Roura Pérez, Eloy (Date of defense: 01-07-2016)
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 ...
Web-based application for medical imaging management

Mata Miquel, Christian (Date of defense: 24-07-2015)
Prostate and breast cancer are the most common cause of cancers in men and women, respectively. Medical imaging plays an important role in breast and prostate cancer detection and evaluation. Then to prove that our web-based ...
Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients

González-Villà, Sandra (Date of defense: 31-05-2019)
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 ...
Motion annotation in complex video datasets

Mahmood, Muhammad Habib (Date of defense: 16-11-2018)
Motion segmentation refers to the process of separating regions and trajectories from a video sequence into coherent subsets of space and time. In this thesis, we created a new multifaceted motion segmentation dataset ...