Sökning: "DICE"
Visar resultat 16 - 20 av 133 uppsatser innehållade ordet DICE.
16. Svensk spel UI - mer science än fiction : En kvalitativ studie om svenska spelutvecklares designprocess kring UI
M1-uppsats, Mittuniversitetet/Institutionen för naturvetenskap, design och hållbar utveckling (2023-)Sammanfattning : Svensk spel UI - mer science än fiction är en uppsats skriven av Angelina Dib, Sandra Holm och Alva Jörgensen. Denna undersökning handlar om spelutvecklingen i Sverige, med fokus på UI, det vill säga User Interface. Denna uppsats innehåller 7548 ord. LÄS MER
17. Tärningssystem i Rollspel
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : This bachelor thesis studies the probabilities of dice rolls in tabletop roleplaying games, to see if any correlation can be found between the system and the desired theme for the game. Due to the growing popularity of tabletop roleplaying, it is a field worth exploring, as it touches the lives of many people around the world. LÄS MER
18. 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
19. 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
20. Automatic 3D Segmentation in CT images of Congenital Heart Defects using Deep Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 3D segmentations of hearts with congenital heart defects are routinely used today. They are used to study hearts and to prepare before surgery which makes them an important part of patient care. The 3D segmentations are usually created manually, which is a time-consuming process. LÄS MER