Blar i Faculty of Science and Technology (RealTek) på forfatter "Oliver Tomic"
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A Comparison of Methods for Modelling Survival Time for Cancer Patients
Rekstad, Mikko Johan Vatterdal (Master thesis, 2023)I denne oppgaven brukte vi tre typer overlevelsesanalysemodeller for å modellere overlevelsestiden til pasienter som lider av endetarmskreft og pasienter som lider av hode- og halskreft. Disse modellene var Cox-regresjon, ... -
Automatisk deteksjon av abnormaliteter i hundealbuer
Steiro, Sunniva Elisabeth Daae (Master thesis, 2023)Albueleddsdysplasi er en genetisk videreførbar utviklingssykdom som omfatter flere albueabnormaliteter, og kan føre til halthet hos hunder. I dag gjennomføres screening av hunder som er utsatt for albueleddsdysplasi, og ... -
Bruk av kunstig intelligens til medisinsk beslutningstøtte: Sammenligning av Dynamic Ensemble Selection med klassiske ML-algoritmer i kreftprediksjon
Anpalagan, Saranjan; Thevarajah, Majorann (Master thesis, 2023)Sammendrag I en verden med teknologiske fremskritt som stadig påvirker ulike næringer, har maskinlæring (ML) vist seg å være en banebrytende teknologi som kan revolusjonere ulike sektorer. Helsesektoren, som i stor grad ... -
Comparison of Pre-processing Methods and Various Machine Learning Models for Survival Analysis on Cancer Data
Karovic, Haris (Master thesis, 2023)Colorectal cancer and cancers in the head and neck region still pose a big problem in medicine and in the healthcare sector. In 2021 alone 11 121 deaths could be accounted for due to various cancers, with colorectal and ... -
Diagnosis of canine hip dysplasia using deep learning
Butler Wang, Vilde (Master thesis, 2024)Hofteleddsdysplasi (HD) hos hund er en arvelig sykdom kjennetegnet av unormal utvikling av hofteleddet. Sykdommen diagnostiseres på en skala fra A til E, der hofteledd med diagnoser A og B betraktes som normale, mens ledd ... -
Diagnostics of Canine Elbow Dysplasia using Deep Learning with Explainability Analysis
Mkrtchyan, Artush (Master thesis, 2024)Elbow Dysplasia is a term used to describe the presence of one or several abnormalities involving the elbow joint. It is genetically inheritable and could in the worst case lead to lameness in dogs. In Norway, dogs can be ... -
Exploration of usability of PLSR for implementation in the RENT feature selection method
Khan, Rameesha Asghar (Master thesis, 2022)RENT (Repeated Elastic Net Technique) is a feature selection technique developed for binary classification and regression tasks. But most real life cases are multi-class. RENT is not currently capable of handling multi-class ... -
Extending the Repeated Elastic Net Technique for Multiclass Feature Selection: Performance Analysis and Comparison
Karki, Nissan (Master thesis, 2023)This thesis adds multiclass classification support to the repeated elastic net technique. It also tests it's performance on multiclass dataset and compares it with other feature selection techniques. -
Head and neck cancer treatment outcome prediction: a dynamical low-rank model approach
Brannstorph, Mathea Herberg (Master thesis, 2024)Machine learning (ML) has emerged as an essential tool for optimizing processes across diverse sectors, including healthcare. However, ML models for cancer detection, diagnosis, and research often require Deep Neural ... -
Improving Navigation with LiDAR Scanners: A Concept Study on the Use of Point Cloud Registration to Enhance and Evaluate Absolute Accuracy
Ingebrigtsen, Isak Foss (Master thesis, 2023)This thesis is written as a collaboration with the Norwegian Mapping Authorities, with the aim of improving a navigation solution for a mobile mapping vehicle, based on data from a LiDAR scanner. A navigation system often ... -
Maskinlæring for prediksjon av behandlingsutfall hos pasienter med hode- og halskreft
Glemming, Helene (Master thesis, 2024)Det er i Norge, for hvert år, omtrent 38 000 mennesker som får kreft, og ut fra disse er 800 av tilfellene hode- og halskreft. Da dette tallet er forventet å øke, vil også behovet for diagnosering og behandling økes. ... -
Missing Value Imputation and Survival Analysis for Treatment Outcome Prediction in High-Grade GEP NEN
Risvik, Erlend Kristiansen; Lizana, Nina Rebecca Finsrud (Master thesis, 2024)The objective of the thesis was to create a reliable model for outcome prediction in gastrointestinal cancers using data with incomplete variables. This was a two-step pro- cess. The first part involved analysis and review ... -
Optimalisere behandlingsutbytte gjennom maskinlæringsbasert prediksjon av medisineffekt i depresjon
Rajeshwaran, Gurubaran; Thangalingam, Anish (Master thesis, 2024)Denne studien tar for seg problemstillingen om hvordan maskinlæringsalgoritmer kan bidra til å identifisere mønstre og innsikter i data som er relevante for prediksjon av medisineffekt i behandling av depresjon. I lys av ... -
Preditcting Treatment Outcome Using Interpretable Models for Patients with Head and Neck Cancer
Martinsen, Alida Karlstrøm (Master thesis, 2023)Head and neck cancer accounts for around 3 % of cancers worldwide, resulting in many deaths each year. The increasing number of patients receiving a cancer diagnosis increases the demand for accurate diagnosis and effective ... -
Survival Analysis Using Deep Learning Models for Head and Neck Cancer Patients
Moen, Torjus Strandenes (Master thesis, 2024)This thesis made deep learning models for time-to-event prediction on patients with head and neck cancer. The follow-up period was split into ten time intervals, spanning a five year period. The models predicted the time ...