Published December 5, 2023 | Version v1
Dataset Open

Probabilistic volumetric speckle suppression in OCT using deep learning: Dataset

Authors/Creators

  • 1. Harvard University
  • 2. ROR icon Harvard Medical School
  • 3. ROR icon Massachusetts General Hospital
  • 4. ROR icon Massachusetts Institute of Technology

Description

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

Files

Data.zip

Files (8.2 GB)

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md5:9152604515e2466423076749affccbe0
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Additional details

Related works

Is supplement to
Dataset: arXiv:2312.04460 (arXiv)