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Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in
  Optical Coherence Tomography Images
v1v2 (latest)

Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images

21 January 2021
Tinu Theckel Joy
S. Sedai
R. Garnavi
ArXiv (abs)PDFHTML

Papers citing "Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images"

2 / 2 papers shown
Title
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis
Samuel T. M. Ball
UQCVBDL
275
0
0
17 May 2025
Assessing the performance of deep learning-based models for prostate
  cancer segmentation using uncertainty scores
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores
Pablo Cesar Quihui-Rubio
Daniel Flores-Araiza
Gilberto Ochoa-Ruiz
M. González-Mendoza
Christian Mata
UQCV
45
1
0
09 Aug 2023
1