Uncertainty‐aware Visualization in Medical Imaging‐A Survey
C Gillmann, D Saur, T Wischgoll… - Computer Graphics …, 2021 - Wiley Online Library
Medical imaging (image acquisition, image transformation, and image visualization) is a
standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students …
standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students …
Effect of the output activation function on the probabilities and errors in medical image segmentation
L Nieradzik, G Scheuermann, D Saur… - arXiv preprint arXiv …, 2021 - arxiv.org
The sigmoid activation is the standard output activation function in binary classification and
segmentation with neural networks. Still, there exist a variety of other potential output …
segmentation with neural networks. Still, there exist a variety of other potential output …
[HTML][HTML] An uncertainty descriptor for quantitative measurement of the uncertainty of remote sensing images
Q Zhang, P Zhang - Remote sensing, 2019 - mdpi.com
Reliable image classification results are crucial for the application of remote sensing
images, but the reliability of image classification has received less attention. In particular, the …
images, but the reliability of image classification has received less attention. In particular, the …
A Visual Analytics Inspired Approach to Correlate and Understand Multiple Mechanical Tensor Fields
V Kretzschmar, G Scheuermann… - 2023 IEEE 16th …, 2023 - ieeexplore.ieee.org
We develop an interactive approach for analyzing multi-field tensor data from simulations in
close collaboration with domain scientists. Our approach is based on extensive application …
close collaboration with domain scientists. Our approach is based on extensive application …
[HTML][HTML] A modeling and measurement approach for the uncertainty of features extracted from remote sensing images
Q Zhang, P Zhang, Y Xiao - Remote Sensing, 2019 - mdpi.com
The reliability of remote sensing (RS) image classification is crucial for applying RS image
classification results. However, it has received minimal attention, especially the uncertainty …
classification results. However, it has received minimal attention, especially the uncertainty …
[HTML][HTML] Automatic Segmentation and Measurement of Infantile Hemangioma
S Oprisescu, M Ciuc, A Sultana - Symmetry, 2021 - mdpi.com
Infantile hemangiomas (IHs) are a type of vascular tumors that affect around 10% of
newborns. The measurement of the lesion size and the assessment of the evolution is done …
newborns. The measurement of the lesion size and the assessment of the evolution is done …
[PDF][PDF] Automatic Segmentation and Measurement of Infantile Hemangioma. Symmetry 2021, 13, 138
S Oprisescu, M Ciuc, A Sultana - 2021 - academia.edu
Infantile hemangiomas (IHs) are a type of vascular tumors that affect around 10% of
newborns. The measurement of the lesion size and the assessment of the evolution is done …
newborns. The measurement of the lesion size and the assessment of the evolution is done …