Dataset: Analysis Of Optical Coherence Tomography

About this Dataset

Analysis Of Optical Coherence Tomography

Context

Retrospective analysis of OCT images from the Moorfields Eye Hospital AMD Database.

Main outcome measures: Volumes of segmented features (mm3), central subfield thickness (CST).

Acknowledgements

Moraes, Gabriella et al. (2020), Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learning, Dryad, Dataset, https://doi.org/10.5061/dryad.2rbnzs7m4

Tables

Amd Baseline

@kaggle.saurabhshahane_analysis_of_optical_coherence_tomography.amd_baseline

313.89 KB
2966 rows
29 columns


CREATE TABLE amd_baseline (
  "id" BIGINT,
  "dayssincebaseline" BIGINT,
  "first_or_second_treated_eye" VARCHAR,
  "eye" VARCHAR,
  "firsttreatedeye" VARCHAR,
  "gender" VARCHAR,
  "age_grouped" VARCHAR,
  "ethnicity_grouped" VARCHAR,
  "injectiongiven" BOOLEAN,
  "injectionnumber" DOUBLE,
  "va_etdrs" DOUBLE,
  "vaunder1letter" VARCHAR,
  "oct_shape" VARCHAR,
  "segmentation_voxel_size_um" VARCHAR,
  "neurosensory_volume_voxels" DOUBLE,
  "rpe_volume_voxels" DOUBLE,
  "irf_volume_voxels" DOUBLE,
  "srf_volume_voxels" DOUBLE,
  "shrm_volume_voxels" DOUBLE,
  "drusen_volume_voxels" DOUBLE,
  "sped_volume_voxels" DOUBLE,
  "fvped_volume_voxels" DOUBLE,
  "hrf_volume_voxels" DOUBLE,
  "neurosensory_thickness_um" DOUBLE,
  "irf_thickness_um" DOUBLE,
  "srf_thickness_um" DOUBLE,
  "shrm_thickness_um" DOUBLE,
  "hrf_thickness_um" DOUBLE,
  "cst_um" DOUBLE
);