Sökning: "Field of blood"
Visar resultat 1 - 5 av 171 uppsatser innehållade orden Field of blood.
1. Glucose Sensing and Differentiating Systems with Organic Electrochemical Neurons : A Future Outlook for Type 2 Diabetes
Master-uppsats, Linköpings universitet/Institutionen för teknik och naturvetenskapSammanfattning : In recent years great advances in the field of biomedical engineering and organic electronics have been achieved. One promising application would be the regulation of blood glucose concentration in type 2 diabetes patients. This application would eliminate medication and would improve the standard of life. LÄS MER
2. Preprocessing for intravoxel incoherent motion analysis in the brain - Signal drift correction
Master-uppsats,Sammanfattning : Diffusion magnetic resonance imaging (dMRI) is a diagnostic imaging technique that is sensitized to the movement of water molecules in tissues. Intravoxel incoherent motion (IVIM) analysis can be used to estimate blood flow in capillaries from weakly diffusion-weighted data. LÄS MER
3. Systematic Multi-Parametric Analysis of Acute Myeloid Leukemia (AML) Flow Cytometry Drug Screens using Flowty
Master-uppsats, Lunds universitet/Teknisk mikrobiologiSammanfattning : Acute myeloid leukemia (AML) is a heterogeneous disease, making it difficult to treat. The standard treatment is intensive chemotherapy and has not changed in 40 years. However, recently new drugs and as less intensive treatment regimens have been approved in the US and in Europe. However. LÄS MER
4. Network Orientation and Segmentation Refinement Using Machine Learning
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. LÄS MER
5. Designing micro exertion game for 2-minute active breaks with ML-agent-based skeletal tracking act the Godot Engine
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis presents the design and development of an innovative exergame aimed atcombating the adverse effects of sedentary lifestyles, particularly prevalent among officeworkers and gamers. The game, built using the open-source Godot game engine andGoogle's MediaPipe machine learning framework, utilizes motion capture technology totranslate real-world player movements into in-game actions. LÄS MER