Titlebook: Bildverarbeitung für die Medizin 2019; Algorithmen – System Heinz Handels,Thomas M. Deserno,Thomas Tolxdorff Conference proceedings 2019 Sp

elastic

使苦惱

Abstract: Anchor-Constrained Plausibility,ing (dMRI). Facing fundamental ambiguities especially in bottleneck situations, tractography generates huge numbers of theoretically possible candidate tracts. Only a fraction of these candidates is likely to correspond to the true fiber configuration, posing a difficult sensitivity-specificity trad

騎師

Minutes

Prediction of Liver Function Based on DCE-CT,time, research regarding liver in the Medical Image Computing community is often focused on diagnosing and treating CLD’s long term effects such as the occurance of malignancies, e.g. hepatocellular carcinoma. The Child-Pugh (CP) score is a surrogate for liver function used to quantify liver cirrhos

Charlatan

Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks,e and fast deployment. Traditionally, the performance of a deep learning model is evaluated on a test dataset, originating from the same distribution as the training set. This evaluation method provides insight regarding the generalization ability of a model.

lactic

incontinence

安慰

Airtight

縮短

Abstract: Tract Orientation Mapping for Bundle-Specific Tractography,from diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to reproduce. Tract orientation mapping (TOM) is a novel concept that facilitates bundle-specific tractography based on a learned mapping from the original fiber orientation distribution function (fODF) peaks to