Sökning: "sahlgrenska it"
Visar resultat 1 - 5 av 46 uppsatser innehållade orden sahlgrenska it.
1. Välmående, mental hälsa och den psykosociala arbetsmiljön i kommunal äldreomsorg efter covid-19
Kandidat-uppsats, Högskolan Väst/Institutionen för ekonomi och itSammanfattning : Pandemin som utlöstes av covid-19 har påverkat den psykosociala arbetsmiljön och välmående för medarbetare och personal vid särskilda boenden för äldre i Sverige. Det finns flera faktorer som kan relateras till det ökade antalet personer som upplever mental ohälsa i samband med den psykosociala arbetsmiljön, såsom arbetsbelastning, stress på arbetet, brist på återhämtning, oro och rädsla för att smittas eller för att föra smitta vidare till anhöriga och andra boende. LÄS MER
2. Evaluation of the DXA radiation environment at Sahlgrenska University Hospital
Master-uppsats,Sammanfattning : Purpose: The aims of this work were to evaluate the radiation environment in the dual-energy X-ray absorptiometry (DXA) rooms at Sahlgrenska University Hospital, estimate personnel doses, determine legal requirements for DXA personnel, examine the operators’ view on radiation safety and develop material with dose information for patients and operators. Theory: DXA is a low dose X-ray modality mainly used in osteoporosis examinations, for which it is considered the reference technique. LÄS MER
3. Evaluation of deep learning image reconstruction for brain- and abdominal CT - A visual grading characteristics study
Master-uppsats,Sammanfattning : Computed tomography (CT) is a common medical imaging method today. There are different ways of reconstructing the images from a CT examination. The standard method is the filtered back projection (FBP). LÄS MER
4. STANDARDIZED ORGAN AT RISK VOLUME FOR EXTERNAL BEAM RADIATION THERAPY IN PROSTATE CANCER AND ITS RELATIONSHIP TO VOLUMES DEFINED BY CLINICAL PRACTICE
Master-uppsats,Sammanfattning : Background/ Purpose: In radiation therapy (RT), the radiation dose calculated in tumours and normal tissue depends on how the volumes are defined. It is difficult to standardize how tumour volumes should be defined because their anatomical extension can differ greatly between individuals. LÄS MER
5. Establishment of a deep learning algorithm for dosimetry of radiopharmaceuticals
Master-uppsats,Sammanfattning : Purpose: The aim of this study was to introduce a volumetric convolutional neural network for segmentation of the kidneys in SPECT images and to apply it in the dosimetry of radiopharmaceuticals of this organ, in order to decrease segmentation time and to standardize the segmentation of the kidneys. Method: Three networks were trained using two network architectures and a total of 216 retrospectively collected images from patients that underwent imaging procedures at Sahlgrenska University Hospital between 2009 and 2018. LÄS MER