2026-10-13T13:10:17Z https://www.scidb.cn/oai

10.57760/sciencedb.43262 2026-07-30T11:08:38Z

2026-07-30 An Optical Coherence Tomography (OCT) B-scan Dataset Acquired Using Custom-built Spectral-domain Systems doi:10.57760/sciencedb.43262 en This repository provides self-acquired optical coherence tomography (OCT) B-scan datasets collected for the development and evaluation of deep learning-based OCT image restoration algorithms. The released data include five imaging categories acquired using custom-built spectral-domain OCT systems under various experimental conditions: gold nanoparticles, laser viewing cards, orange slices, organoids, and in vivo rabbit retina. This dataset is intended to support research on OCT image enhancement, image restoration, denoising, deconvolution, computational imaging, medical image analysis, and self-supervised deep learning. optical coherence tomography; deconvolution; deep learning; deep neural network Weiyi Zhang Haoran Zhang Qi Lan Chang Liu Zheng Li Chengfu Gu Jianlong Yang PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset http://www.doi.org/10.3788/AI.2025.10026 Science Data Bank