Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy

Autor: Szczotka, Agnieszka Barbara, Shakir, Dzhoshkun Ismail, Clarkson, Matthew J., Pereira, Stephen P., Vercauteren, Tom

Publikováno v: IEEE Transactions on Medical Imaging, 2021

Super-resolution (SR) methods have seen significant advances thanks to the development of convolutional neural networks (CNNs). CNNs have been successfully employed to improve the quality of endomicroscopy imaging. Yet, the inherent limitation of res

Externí odkaz: http://arxiv.org/abs/2103.14015

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

Autor: Ravì, Daniele, Szczotka, Agnieszka Barbara, Pereira, Stephen P, Vercauteren, Tom

In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventional guidance. It can provide intraoperative aids for real-time tissue characterization and can help to perform visual investigations aimed for example

Externí odkaz: http://arxiv.org/abs/1901.06988

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

Autor: Rav��, Daniele, Szczotka, Agnieszka Barbara, Pereira, Stephen P, Vercauteren, Tom

Publikováno v: Medical Image Analysis
Ravì, D, Szczotka, A B, Pereira, S P & Vercauteren, T 2019, ' Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy ', Medical Image Analysis, vol. 53, pp. 123-131 . https://doi.org/10.1016/j.media.2019.01.011

In recent years, endomicroscopy has become increasingly used for diagnostic purposes and interventional guidance. It can provide intraoperative aids for real-time tissue characterization and can help to perform visual investigations aimed for example

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4af65493a41c4ad9e6ad5eeac5ffff38
http://europepmc.org/articles/PMC6873642