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ZENODO
Dataset . 2023
Data sources: ZENODO
ZENODO
Dataset . 2023
Data sources: Datacite
ZENODO
Dataset . 2023
Data sources: Datacite
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Probabilistic volumetric speckle suppression in OCT using deep learning: Dataset

Authors: Chintada, Bhaskara Rao; Ruiz-Lopera, Sebastián; Restrepo, René; Bouma, Brett; Villiger, Martin; Uribe-Patarroyo, Néstor;

Probabilistic volumetric speckle suppression in OCT using deep learning: Dataset

Abstract

This file contains a retinal OCT intensity volume as a demo dataset to generate volumetric speckle-suppressed training data using our non-local-means despeckling (TNode) script and four OCT intensity volumes and their corresponding TNode-processed intensity volumes of different tissue samples to train and test our deep learning framework used in "Probabilistic volumetric speckle suppression in OCT using deep learning" by Chintada et al. 2023. The TNode code for generating the training data and the source code for our deep learning framework are available at https://github.com/bhaskarachintada/DLTNode.git

Keywords

Speckle reduction, cGAN, Optical Coherence Tomography, speckle, pix-to-pix

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average