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Visar resultat 1 - 5 av 152 uppsatser som matchar ovanstående sökkriterier.
1. Patienters erfarenheter av personcentrerad omvårdnad vid lungcancer : En litteraturstudie
Kandidat-uppsats, Malmö universitet/Institutionen för vårdvetenskap (VV)Sammanfattning : Bakgrund: Lungcancer är efter bröstcancer den andra vanligaste cancerformen i världen och den cancerform med högst mortalitet. Diagnostisering sker ofta i ett sent skede då symtom sällan yttrar sig tidigt i sjukdomsförloppet. LÄS MER
2. Refining the particulate matter airway deposition arising from indoor cooking-related biomass combustion for children in the Haramaya district in Ethiopia
Master-uppsats, Lunds universitet/Ergonomi och aerosolteknologiSammanfattning : Background: Air pollution, a global issue affecting millions of individuals, is linked to adverse health effects on the respiratory system, but also to e.g., cancer and cardiovascular ailments. In low-income countries, cooking is often conducted by biomass-combustion, causing women and children to be exposed to high levels of indoor air pollution. LÄS MER
3. Development of a new SBRT dose planning strategy for thoracic tumours in RayStation
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/RadiofysikSammanfattning : Umeå University Hospital has acquired a new treatment planning system, RayStation, for radiotherapy. It has a different set of dose calculation algorithms that require new planning strategies for stereotactic lung cancer treatments. LÄS MER
4. Assessment and evaluation of heterogeneity in data from immune infiltration spatial niches in lung cancer
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The protein biomarker expressions in three types of sampled immune INFILTration spatial niches in lung cancer tissue were measured using the new technology Digital Spatial Profiler (DSP). The three types of immune INFILTration that were observed in lung tumors were STROMA identified as immune cells separate from tumor cells, Tertiary lymphoid structures (TLS) identified as dense structures of organized immune cells and finally Infiltraterate where immune cells dispersed among and in direct contact with tumor cells (INFILT). LÄS MER
5. Emphysema Classification via Deep Learning
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Emphysema is an incurable lung airway disease and a hallmark of Chronic Obstructive Pulmonary Disease (COPD). In recent decades, Computed Tomography (CT) has been used as a powerful tool for the detection and quantification of different diseases, including emphysema. The use of CT comes with a potential risk: ionizing radiation. LÄS MER