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Pre-examinations Improve Automated Metastases Detection on Cranial MRI
March 14, 2024, 4:46 a.m. | Katerina Deike-Hofmann, Dorottya Dancs, Daniel Paech, Heinz-Peter Schlemmer, Klaus Maier-Hein, Philipp B\"aumer, Alexander Radbruch, Michael G\"otz
cs.CV updates on arXiv.org arxiv.org
Abstract: Materials and methods: First, a dual-time approach was assessed, for which the CNN was provided sequences of the MRI that initially depicted new MM (diagnosis MRI) as well as of a prediagnosis MRI: inclusion of only contrast-enhanced T1-weighted images (CNNdual_ce) was compared with inclusion of also the native T1-weighted images, T2-weighted images, and FLAIR sequences of both time points (CNNdual_all).Second, results were compared with the corresponding single time approaches, in which the CNN was provided …
abstract arxiv automated cnn contrast cs.cv detection diagnosis eess.iv images inclusion materials mri physics.med-ph q-bio.qm type
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