Titlebook: Simulation and Synthesis in Medical Imaging; Third International Ali Gooya,Orcun Goksel,Ninon Burgos Conference proceedings 2018 Springer

木质

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/s/image/867584.jpg

intricacy

Perineum

978-3-030-00535-1Springer Nature Switzerland AG 2018

外表读作

Simulation and Synthesis in Medical Imaging978-3-030-00536-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

自负的人

Agnosia

olfction

Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in synthesized ground-truth. An observer study was performed for the evaluation of the proposed method. The motion artifacts were markedly reduced and boundaries of the coronary artery were much sharper than before applying the proposed method, with a strong inter-observer agreement (kappa = 0.78).

云状

HILAR

Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from Mnged by the relatively small datasets available for which only subjective and tedious visual reading is available, and by the low prevalence of lesions (a few in ~10% of a typical elderly cohort) resulting in unbalanced classes. Moreover, the lack of actual ground truth might limit the performance o

缓解

Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation,g protocols. These changes can manifest in three main sources of image inconsistency: contrast, resolution, and noise. Modern analysis techniques that use supervised machine learning can be especially susceptible to these inconsistencies, as existing training data may not be valid after an upgrade o