Sökning: "is 95"
Visar resultat 1 - 5 av 1370 uppsatser innehållade orden is 95.
1. Investigation of Injury Predictors for Rat Neuro Trauma
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : A traumatic brain injury is usually caused by a direct impact to the head and is a common cause of disability and death all around the world. The most effective method to predict brain injury today, is to use a finite element head model. LÄS MER
2. Cyberhygien hos högskolestudenter - Vilka åtgärder behövs för att upprätthålla en god cyberhygien bland högskolestudenter i Sverige
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Den digitala interaktionen har blivit en väsentlig del av individers vardag. Ökad användning av digitala tjänster har också lett till en exponentiell ökning av diverse cyberhot. LÄS MER
3. Quantifying liquid food waste : levels of liquid coffee waste, its causes and barriers and drivers for quantification in the Swedish food service sector
Master-uppsats, SLU/Department of Molecular SciencesSammanfattning : Food waste is a waste of resources required throughout the entire supply chain, leading to environmental impacts that could have been avoided. Coffee has a relatively high environmental impact partially due to the high consumption. To identify levels and sources of food waste, and consequently prevent it, quantification is used. LÄS MER
4. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER
5. Virtual H&E Staining Using PLS Microscopy and Neural Networks
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER