Browsing Department of Electrical and Computer Engineering (TN-IDE) by Subject "blærekreft"
Now showing items 1-10 of 10
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Automated Grading of Bladder Cancer using Deep Learning
(PhD thesis UiS;, Doctoral thesis, 2022-02)Urothelial carcinoma is the most common type of bladder cancer and is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ... -
Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning
(Peer reviewed; Journal article, 2021-08)The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ... -
Classification of histological images of bladder cancer using deep learning
(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 ... -
Deep Learning-Driven Diagnostic and Prognostic Solutions for Histopathological Images of Bladder Cancer
(PhD thesis UiS;, Doctoral thesis, 2024)This thesis presents a comprehensive investigation into the development and application of advanced computational techniques for the extraction of crucial diagnostic and prognostic information from histological images of ... -
Image processing and classification of urothelial carcinoma using tissue sample images
(Masteroppgave/UIS-TN-IDE/2016;, Master thesis, 2016-06-15)Bladder cancer is the 6th most common cancer in the world, with 429.000 new incidents reported in 2012, of which urothelial carcinoma is the most common. Prognostic value of the current grading systems are low, with only ... -
Image Processing and Deep Neural Networks for Detection of Immune Cells on Histological Images of Bladder Cancer
(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
(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 ... -
Regional Convolutional Neural Network for Cell Detection and Classification in Urinary Bladder Cancer
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)Bladder canceristhefourth most common type of cancer in men and the eighth in women. Patient treated for this cancer must be monitored for the rest of their live due to the recurrence of this disease.That need for monitoring ... -
Semi-Supervised Image Segmentation of Medical Data
(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 ... -
Semi-supervised tissue segmentation of histological images
(Peer reviewed; Journal article, 2020-09)Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...