glaucoma
Datasets
All datasets matching “glaucoma”glaucoma-expert-cot-final
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
glaucoma / not
train.jsonl
823
304 / 519
val.jsonl
92
46 / 46
test.jsonl
159
79 / 80
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train",
"final_diagnosis_GT":… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-final.Glaucoma_Dataset
Glaucoma Dataset
Dataset Summary
The Glaucoma Dataset is a comprehensive collection of retinal fundus images designed for the automated detection and classification of glaucoma. Containing between 10,000 and 100,000 high-quality images, this dataset aims to support the development and evaluation of machine learning and deep learning models in the field of ophthalmic medical imaging.
The dataset is organized using the standard imagefolder format, making it highly… See the full description on the dataset page: https://huggingface.co/datasets/Nj-1111/Glaucoma_Dataset.glaucoma-expert-cot-raw-1077
Glaucoma Expert Chain-of-Thought
Ophthalmologist six-step reasoning reports for fundus photographs, each paired with
a binary glaucoma label. 1,074 cases from LAG and Papila.
Files
file
rows
split
expert_cot_trainval.jsonl
915
train (823) + val (92)
expert_cot_test.jsonl
159
test
images/
1,074
<source>_<id>.jpg
Record schema
{
"id": "1689",
"source": "LAG",
"image": "LAG_1689.jpg",
"split": "train"… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-raw-1077.glaucoma-images-dataset-v2MICCAI_FLARE_glaucomaharvard-oct-glaucoma-200
Harvard-GF 200^3 consolidated dataset
Canonical raw 200^3 Harvard-GF OCT volumes as consolidated .npy (uint8),
split-matched with the 96^3/128^3 convenience copies.
Source: harvardairobotics/Harvard-GF (per-scan .npz[oct_bscans]), IEEE TMI 2024 (Luo et al.)
store_shape: [1, 200, 200, 200] uint8 | source_shape: [200, 200, 200] | antialias: n/a (raw)
Splits (volumes, pos=glaucoma):
Training: 2100 (pos 1083 / neg 1017)
Validation: 300 (pos 176 / neg 124)
Test: 900 (pos 489 / neg… See the full description on the dataset page: https://huggingface.co/datasets/tqhuyen/harvard-oct-glaucoma-200.