Browsing UiS Brage by Author "Kvikstad, Vebjørn"
Now showing items 1-8 of 8
-
Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning
Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Kvikstad, Vebjørn; Janssen, Emiel; Tøssebro, Erlend; Lillesand, Melinda (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, ... -
Better prognostic markers for nonmuscle invasive papillary urothelial carcinomas
Kvikstad, Vebjørn (PhD thesis UiS;, Doctoral thesis, 2022-04)Bladder cancer is a common type of cancer, especially among men in developed countries. Most cancers in the urinary bladder are papillary urothelial carcinomas. They are characterized by a high recurrence frequency (up to ... -
Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images
Fuster Navarro, Saul; Khoraminia, Farbod; Kiraz, Umay; Kanwal, Neel; Kvikstad, Vebjørn; Eftestøl, Trygve Christian; Zuiverloon, Tahlita C M; Janssen, Emiel; Engan, Kjersti (Chapter, 2022)Bladder cancer patients’ stratification into risk groups relies on grade, stage and clinical factors. For non-muscle invasive bladder cancer, T1 tumours that invade the subepithelial tissue are high-risk lesions with a ... -
Mitotic activity index and CD25+ lymphocytes predict risk of stage progression in non-muscle invasive bladder cancer
Lillesand, Melinda; Kvikstad, Vebjørn; Mangrud, Målfrid Ok; Gudlaugsson, Einar; Van Diermen, Bianca; Skaland, Ivar; Baak, Johannes Peter A; Janssen, Emiel (Peer reviewed; Journal article, 2020-06)In urothelial cell type non-muscle invasive urinary bladder carcinoma, TNM stage and WHO grade are widely used to classify patients into low and high-risk groups for prognostic and therapeutic decision-making. However, ... -
A Multiscale Approach for Whole-Slide Image Segmentation of five Tissue Classes in Urothelial Carcinoma Slides
Wetteland, Rune; Engan, Kjersti; Eftestøl, Trygve Christian; Janssen, Emiel; Kvikstad, Vebjørn (Peer reviewed; Journal article, 2020)In pathology labs worldwide, we see an increasing number of tissue samples that need to be assessed without the same increase in the number of pathologists. Computational pathology, where digital scans of histological ... -
Prognostic value and reproducibility of different microscopic characteristics in the WHO grading systems for pTa and pT1 urinary bladder urothelial carcinomas
Kvikstad, Vebjørn; Mangrud, Målfrid Ok; Gudlaugsson, Einar; Dalen, Ingvild; Espeland, Hans; Baak, Jan P.A.; Janssen, Emiel (Peer reviewed; Journal article, 2019-08)Background: European treatment guidelines for pTa and pT1 urinary bladder urothelial carcinoma depend highly on stage and WHO-grade. Both the WHO73 and the WHO04 grading systems show some intra- and interobserver variability. ... -
Semi-supervised tissue segmentation of histological images
Wetteland, Rune; Dalheim, Ove Nicolai; Kvikstad, Vebjørn; Janssen, Emiel; Engan, Kjersti (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 ... -
T1 Substaging of Nonmuscle Invasive Bladder Cancer is Associated with bacillus Calmette-Guérin Failure and Improves Patient Stratification at Diagnosis
de Jong, Florus C.; Hoedemaeker, Robert F.; Kvikstad, Vebjørn; Mensink, Jolien T M; de Jong, Joep J.; Boevé, Egbert R.; van der Schoot, Deric K E; Zwarthoff, Ellen C.; Boormans, Joost L.; Zuiverloon, Tahlita C M (Peer reviewed; Journal article, 2021-03)Purpose: Currently, markers are lacking that can identify patients with high risk nonmuscle invasive bladder cancer who will fail bacillus Calmette-Guérin treatment. Therefore, we evaluated the prognostic value of T1 ...