Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer

Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer

Abstract Prostate cancer (PCa) diagnosis on multi-parametric magnetic resonance images (MRI) requires radiologists with a high level of expertise. Misalignments between the MRI sequences can be caused by patient movement, elastic soft-tissue deformations, and imaging artifacts. They further increase...

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Bibliographic Details
Main Authors: Balint Kovacs, Nils Netzer, Michael Baumgartner, Adrian Schrader, Fabian Isensee, Cedric Weißer, Ivo Wolf, Magdalena Görtz, Paul F. Jaeger, Victoria Schütz, Ralf Floca, Regula Gnirs, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, David Bonekamp, Klaus H. Maier-Hein
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-46747-z

Internet

https://doi.org/10.1038/s41598-023-46747-z

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