Enhancing Deep Learning CT pancreas segmentation with Test-Time Augmentation and Merging Techniques to Leverage Inter-rater variability and uncertainty

Treball fi de màster de: Master in Computational Biomedical Engineering. Tutors: Miguel Ángel González Ballester, Meritxell Riera i Marín, Javier García López

Bibliographic Details
Author: Sastre García, Blanca
Format: master thesis
Publication Date:2023
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/58091
Online Access:http://hdl.handle.net/10230/58091
Access Level:Open access
Keyword:Imaging segmentation
3D U-net
Noisy labels
TTA
Merging algorithms
Description
Summary:Treball fi de màster de: Master in Computational Biomedical Engineering. Tutors: Miguel Ángel González Ballester, Meritxell Riera i Marín, Javier García López