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Advanced Imaging for Glaucoma Study
Dataset for Advanced Imaging for Glaucoma Study -
Optical Coherence Tomography Dataset
Optical coherence tomography (OCT) dataset with 68 volumes from eyes with pathology. -
Macular OCT Images Dataset
A dataset of macular OCT images of healthy controls and patients with diabetic macular edema -
Duke SD-OCT Dataset
The Duke SD-OCT dataset contains 38,400 annotated B-scans of 259 iAMD patients and 115 healthy subjects. -
Stanford Glaucoma Dataset
A dataset of OCT scans consisting of glaucoma and non-glaucomatous cases obtained from four tertiary care eye hospitals located in four different countries. -
Internal Dataset
The internal dataset contains 6 million real-world driving scenarios from Las Vegas (LV), Seattle (SEA), San Francisco (SF), and the campus of the Stanford Linear Accelerator... -
UMN dataset
The UMN dataset consists of three different crowd scenes, and the dataset has 11 videos from these scenes, with a resolution of 240 × 320. Each video sequence represents a... -
KERMANY dataset
The KERMANY dataset contains 256 OCT scans from DME patients. -
OPTIMA dataset
The OPTIMA dataset contains 30 OCT volumes divided into training and testing sets, each set containing 15 volumes. -
OPTIMA, KERMANY, and UMN datasets
Three public datasets namely OPTIMA, KERMANY, and UMN were employed to evaluate the proposed method. -
CHOROID dataset
Private OCT dataset used for testing -
DukeOCT dataset
Open-access OCT dataset used for segmentation pre-training -
OCT2017 dataset
Open-access OCT datasets used for pre-training and fine-tuning the model -
Motion Correction in Optical Coherence Tomography Volumes
The dataset used in this paper is a collection of 102 scan pairs containing both healthy and a wide range of pathologic cases. The dataset is used to evaluate the proposed... -
Choroidalyzer
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography
