Essays about: "Dice"
Showing result 1 - 5 of 106 essays containing the word Dice.
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1. The Principle of Non-Regression Rule of Law in the EU
University essay from Stockholms universitet/Juridiska institutionenAbstract : The principle of non-regression is an novel concept in the EU rule of law area. The Court of Justice of the European Union ("Court" or "CJEU") has recently discussed it e.g., in Repubblika (Maltese Judges), Commission versus Poland (Disciplinary régime applicable to judges), Advocate General Tanchev in his Opinion in A. READ MORE
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2. Ocean Economy - Implementing damages to marine sectors and ecosystems into the DICE model
University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikAbstract : The oceans are a key element in our society, economy and environmental system.They cover over 70% of the worlds surface and contribute substantially to ecosystemservices such as climate management as well as to economic sectors such as foodproduction and tourism. READ MORE
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3. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. READ MORE
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4. Self-learning for 3D segmentation of medical images from single and few-slice annotation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE
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5. Deep learning-based segmentation of anatomical structures in MR images
University essay from Linköpings universitet/Avdelningen för medicinsk teknikAbstract : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. READ MORE
