Titlebook: Bildverarbeitung für die Medizin 2023; Proceedings, German Thomas M. Deserno,Heinz Handels,Thomas Tolxdorff Conference proceedings 2023 De

鳴叫

Improved Tractography by Means of DL-based DWI Image Enhancement,a substantially more accurate tractography with XTRACT. Our results show that the method increases the correlation of tracts extracted from a clinical dataset with the ones extracted from a high-quality one from 64% to 83%. Clinically, this implies that both more tracts are detected and that the details of detected tracts are higher.

bacteria

Deep Learning Approaches for Contrast Removal from Contrast-enhanced CT,in terms of HU values, and performed dosimetry calculations on the original nCT and ceCT, and on the in-silico nCTs to evaluate the impact on the dose rate. The two approaches yielded good results both in terms of HU reduction (more than 30%) and in the difference of dose rate against the original nCT (less than 1.38% vs. 4.76%).

Inflammation

Automatic Vertebrae Segmentation in MR Volumes,ed three methods that were already established in the segmentation of CT images: 3D UNet as our baseline, an iterative binary segmentation approach, and a multi-stage segmentation approach. Our experiments achieved a mean Dice score of 88.1% and demonstrate that CT segmentation methods are easily transferable to MR segmentation.

obsession

Conference proceedings 2023mentierung und Analyse, Visualisierung und Animation, computerunterstützte Diagnose sowie bildgestützte Therapieplanung und Therapie. Hierbei kommen Methoden des maschinelles Lernens, der biomechanischen Modellierung sowie der Validierung und Qualit?tssicherung zum Einsatz.?.

寄生蟲

https://doi.org/10.1007/978-94-6300-779-5sel tree. Comparing our proposed model with the current state of the art for this task, a 2D U-Net operating on axial NCCT slices, we were able to slightly increase quantitative overlap metrics as well as achieve notably improved qualitative results w.r.t. spatial continuity of the segmented vessel tree.

好開玩笑

insolence

頭盔

救護(hù)車

表示向下

Keynote: Beyond Supervised Learning,robust modelling of normal appearance and identification of features pointing into the long tail of population data. In this talk, I will explore the fitness of machine learning for applications at the front line of care and high throughput population health screening, specifically in prenatal healt