Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography

Autor: Shapira, Nadav, Fokuhl, Julia, Schultheiss, Manuel, Beck, Stefanie, Kopp, Felix K., Pfeiffer, Daniela, Dangelmaier, Julia, Pahn, Gregor, Sauter, Andreas P., Renger, Bernhard, Fingerle, Alexander A., Rummeny, Ernst J., Albarqouni, Shadi, Navab, Nassir, Noel, Peter B.

Publikováno v: Biomedical Physics & Engineering Express, 6 (1)

Purpose: To evaluate the benefit of the additional available information present in spectral CT datasets, as compared to conventional CT datasets, when utilizing convolutional neural networks for fully automatic localisation and classification of liv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::324a480ea7b8daffe94ec8ce1ff23f49
https://hdl.handle.net/20.500.11850/467883

Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography.

Autor: Shapira N; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States of America., Fokuhl J, Schultheiß M, Beck S, Kopp FK, Pfeiffer D, Dangelmaier J, Pahn G, Sauter AP, Renger B, Fingerle AA, Rummeny EJ, Albarqouni S, Navab N, Noël PB

Publikováno v: Biomedical physics & engineering express [Biomed Phys Eng Express] 2020 Jan 30; Vol. 6 (1), pp. 015038. Date of Electronic Publication: 2020 Jan 30.