Now showing items 1-8 of 8

    • Application of deep learning for breast cancer metastasis detection in sentinel lymph node biopsies 

      Cossio, Carlos Manuel (Universitat Politècnica de Catalunya, 2021-01-18)
      Master thesis
      Open Access
      Covenantee:   Universitat de Barcelona
      In developed countries, breast cancer is one of the leading causes of death in female cancer patients aged 40 and above. The early detection of this pathology has a positive impact on the reduction of mortality and morbidity. ...
    • Automatic classification of attention-deficit/hyperactivity disorder using brain activation 

      Vila Muñoz, Maria del Mar (Universitat Politècnica de Catalunya, 2012-09-04)
      Master thesis
      Open Access
      Nowadays, there is an active fi eld of research in neuroscience trying to fi nd relations between neurofunctional abnormalities of brain structures and neurological disorders. Previous statistical studies on brain ...
    • Automatic methods for detection of midline brain abnormalities 

      Solanes Font, Aleix (Universitat Politècnica de Catalunya, 2017-01-20)
      Master thesis
      Open Access
      Different studies have demonstrated an augmented prevalence of different midline brain abnormalities in patients with both mood and psychotic disorders. One of these abnormalities is the cavum septum pellucidum (CSP), ...
    • Automatic segmentation of Nucleus Accumbens 

      Sem, Federico (Universitat Politècnica de Catalunya, 2012-09-05)
      Master thesis
      Open Access
      Segmentation of subcortical structures in the brain has become an increasingly important topic in contemporary medicine. The ability to effi ciently isolate different regions of the human brain has allowed doctors and ...
    • Basis Decomposition Discriminant ICA 

      Tabas Díaz, Alejandro (Universitat Politècnica de Catalunya, 2013-09-09)
      Master thesis
      Open Access
      In this Master's Thesis, we introduce the methodology Basis-Decomposition Discriminant ICA (BD-DICA), capable of finding the most discriminant Independent Components to characterise a high-dimensional dataset. The ...
    • Deep learning for the development of biometric systems based on static signatures 

      Romero Díaz, Álvaro (Universitat Politècnica de Catalunya, 2019-04-24)
      Master thesis
      Restricted access - confidentiality agreement
    • Segmentation of brain MRI structures with deep machine learning 

      Martínez González, Alberto (Universitat Politècnica de Catalunya, 2012-06-22)
      Master thesis
      Open Access
      Several studies on brain Magnetic Resonance Images (MRI) show relations between neuroanatomical abnormalities of brain structures and neurological disorders, such as Attention De fficit Hyperactivity Disorder (ADHD) and ...
    • Smart Cage Active Contours and their application to brain image segmentation 

      Saeta Pérez, Israel (Universitat Politècnica de Catalunya, 2013-09-09)
      Master thesis
      Open Access
      In this work we present a new segmentation method named Smart Cage Active Contours (SCAC) that combines a parametrized active contour framework named Cage Active Contours (CAC), based on a ne trans- formations, with ...