Sökning: "Medical errors"
Visar resultat 11 - 15 av 109 uppsatser innehållade orden Medical errors.
11. Does Rust SPARK joy? : Recommendations for safe cross-language bindings between Rust and SPARK
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis aims to provide recommendations for interfacing two memory-safe programming languages, Rust and SPARK. The comparison of Rust and C/C++, as well as SPARK and C/C++, has been thoroughly researched. However, this level of investigation hasn’t been as extensive between memory-safe languages. LÄS MER
12. Motion tracking for virtual reality using inertial motion sensors
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Human motion capture has until recently been dominated by camera-based solutions. With advancements within Micro Electro-Mechanical Systems (MEMS) technology new Inertial Measurement Unit (IMU) based solutions are being explored. This thesis explores the possibility of using IMUs for augmenting motion tracking for Virtual Reality (VR). LÄS MER
13. osimetric impact of system spe cific geometric distortion on head and neck treatment plans in MRI only based radiation therapy
Master-uppsats,Sammanfattning : Background/ purpose: Because of the superior soft tissue contrast, in comparison with computed tomography (CT) data, magnetic resonance imaging (MRI) is of high interest to include in a larger extent in the ra diation therapy (RT) process. In an MRI only workflow, the CT scan is excluded and a synthetic CT is used for treatment plan ning. LÄS MER
14. Development and evaluation of an inter-subject image registration method for body composition analysis for three slice CT images
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Over 30 000 liver, abdomen, and thigh slices have been acquired by computed tomography for the SCAPIS and IGT study. To utilise the full potential of the large cohort and enable statistical pixel-wise body composition analysis and visualisation of associations with other biomarkers, a point-to-point correspondence between the scans is needed. LÄS MER
15. Error detection in blood work : Acomparison of self-supervised deep learning-based models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Errors in medical testing may cause serious problems that has the potential to severely hurt patients. There are many machine learning methods to discover such errors. However, due to the rarity of errors, it is difficult to collect enough examples to learn from them. It is therefore important to focus on methods that do not require human labeling. LÄS MER