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pro vyhledávání: '"Østmo, Eirik Agnalt"'
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Autor:
Wickstrøm, Kristoffer Knutsen, Østmo, Eirik Agnalt, Radiya, Keyur, Mikalsen, Karl Øyvind, Kampffmeyer, Michael Christian, Jenssen, Robert
Deep learning-based approaches for content-based image retrieval (CBIR) of CT liver images is an active field of research, but suffers from some critical limitations. First, they are heavily reliant on labeled data, which can be challenging and costl
Externí odkaz:
http://arxiv.org/abs/2207.04812
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Autor:
Wickstrøm, Kristoffer Knutsen, Østmo, Eirik Agnalt, Radiya, Keyur, Mikalsen, Karl Øyvind, Kampffmeyer, Michael Christian, Jenssen, Robert
Publikováno v:
In Computerized Medical Imaging and Graphics July 2023 107
Autor:
Østmo, Eirik Agnalt, Wickstrøm, Kristoffer, Radiya, Keyur, Kampffmeyer, Michael, Jenssen, Robert
Publikováno v:
Østmo, Wickstrøm, Radiya, Kampffmeyer, Jenssen. View it like a radiologist: Shifted windows for deep learning augmentation of CT images. Machine Learning for Signal Processing. 2023
Externí odkaz:
https://hdl.handle.net/10037/32447