Copertina

Tumor likelihood estimation on MRI prostate data by utilizing k-Space information

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Rempe, M., Hörst, F., Seibold, C., Hadaschik, B., Schlimbach, M., Egger, J., Kröninger, K., Breuer, F., Blaimer, M., Kleesiek, J.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Medical Physics
Accesso online:	Acceder al recurso
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