Blar i Studentoppgaver (TN-IDE) på forfatter "Engan, Kjersti"
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Automatic Detection of the Intersection Point Between Left and Right Ventricle in LG-CMR Images
Karlsen, Elisabeth Noss (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)Each year Myocardial Infarction affects millions of people worldwide. Approximately 66% of those experiencing a Myocardial Infarction survives, but are at a higher risk of heart related complications and another Infarction. ... -
Automatic segmentation of bone, skin and synovitis in ultrasound images of finger joints
Marås, Christian (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)Rheumatoid arthritis (RA) is estimated to affect between 0.3 to 1.5 % of the population. It tends to strike individuals between the ages of 35-50, which is their working age, with every third individual diagnosed with RA ... -
Cerebral vessel segmentation in contrast CT images
Myklebust, Sigurd (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)Patients with cerebral stroke symptoms are typically examined using CT scanning due to its availability and efficiency. If the stroke is suspected to be ischemic, a contrast agent is injected to increase the contrast in ... -
Classification of histological images of bladder cancer using deep learning
Wetteland, Rune (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)In Norway bladder cancer is the fourth most common cancer type among men, with an almost 70 % increase in incidence the past four decades. For women, the increase has been about 40 %. The histological images of bladder ... -
Classifying Dinoflagellates in Palynological Slides Using Convolutional Neural Networks
Nesse, Aleksander Borge (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)The petroleum industry is still one of the largest contributors to the Norwegian economy. Experts estimates that of the total reserves on the Norwegian shelf only 52 percent have been discovered. During test drilling, core ... -
Deteksjon av kompresjoner ved bruk av lydopptak fra smarttelefon under trening på hjerte- lungeredning
Stensland, Øyvind (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-09)Trening på hjerte- lungeredning (HLR) utføres ofte i skolesammenheng med MiniAnne-dukker. Disse lager dobbel klikkelyd når det komprimeres dypt nok. Dersom elevene kan få en tilbakemelding på hvor bra HLR utføres, kan dette ... -
Diagnosis, Localization, and Prognosis of Melanoma in WSIs with a Complete Pipeline by Digital Pathology
Benjaminsen, Edvin; Bø-Sande, Marie (Master thesis, 2023)The most dangerous and aggressive form of skin cancer is melanoma, responsible for 90% of skin cancer mortality. Early detection of melanoma plays a crucial role in the prognostic outcome. The diagnostic has to be performed ... -
Extracting coronary arteries in angiographic images
Moene, Alexander Kvale (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-07-15)This master thesis has as propose to extract coronary arteries form angiographic video. With several stability issues with the easy to implement established functions in the time domain and other methods that is far too ... -
Feature extraction for exploring infarcted regions in perfusion CT images of the brain
Hovland, Eivind (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)In Norway, over 15 000 people suffer from acute cerebral stroke annually, it is the leading cause of adult long-term severe disability and a significant reason for admission to nursing homes. In Norway it is a prominent ... -
Generalized vs Specialized activity recognition system for newborn resuscitation videos using Deep Neural Networks.
Aboaja, Chukwudi (Master thesis, 2021)Birth asphyxia is a global problem which has resulted in a high mortality rate of newborn babies all over the globe, it is a newborn’s inability to establish breathing at birth. A notable breakthrough is the marrying of ... -
Image Processing and Deep Neural Networks for Detection of Immune Cells on Histological Images of Bladder Cancer
Svendsen, Fredrik (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Bladder cancer is the tenth most common cancer type, where urothelial carcinoma is the most common type of bladder cancer. Bladder cancer has been classified as the most expensive type of cancer per patient, as the need ... -
Image processing on histopathological images of urothelial carcinoma – assessment of immune cells
Malkenes, Ørjan (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)Bladder cancer is the 6th most common cancer in the world, where urothelial carcinoma is the most common one. Bladder cancer is one of the most economically expensive cancers to treat, as follow up is needed over a long ... -
Machine learning, unsupervised learning and stain normalization in digital nephropathology
Jon Tveit (Master thesis, 2023)Chronic kidney disease is a serious health challenge and still, the field of study lacks awareness and funding. Improving the efficiency of diagnosing chronic disease is important. Machine learning can be used for various ... -
Melanoma Diagnosis and Localization from Whole Slide Images using Convolutional Neural Networks
Amundsen, Roger (Master thesis, 2022)During the last decade, no other cancer type in Norway have had higher increase in incidents than skin cancer. Melanoma is the most aggressive type of skin cancer because it has the ability to rapidly spread, which makes ... -
Melanoma prognosis prediction using image processing and machine learning
Andreassen, Christopher (Master thesis, 2022)Death of melanoma cancer is most common in Europe, and northern Europe has the second highest mortality rate of melanoma in the world, with 1.9 per 100 000 dying from melanoma in northern Europe in 2020. Prognosis of ... -
Myocardial Segmentation in LGE-CMR Images Using Deep Neural Networks
Kregnes, Anders (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-07-29)Cardiovascular diseases are the number one cause of death globally. 85% of these deaths are related to acute myocardial infarction or stroke. One of the methods that are used to diagnose patients affected by myocardial ... -
Optimization of object detection in newborn resuscitation videos
Austnes, Simon (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-14)99% of deaths of children under 28 days of age takes place in low- and middle-income countries. Most of these deaths are due to complications during childbirth. Newborn resuscitation heavily revolves around ventilation, ... -
Safer Births - Using Deep Neural Networks on Fetal Heart Rate Signals
Berntsen, Stian (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Infant death is a big issue, especially in Africa and parts of Asia where between 24 and 30 [21] in every thousand do not survive the first month. In Europe this number is only 5.9 in every thousand. Reading fetal heart ... -
Segmentation of infarcted regions in Perfusion CT images by 3D deep learning
Tomasetti, Luca (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ... -
Semi-Supervised Image Segmentation of Medical Data
Dalheim, Ove Nicolai (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ...