bugi-sulistiyo/glaucoma-detection-for-segmentation

Glaucoma Detection Dataset

A dataset of annotated fundus images for developing glaucoma detection models. This dataset is a private data that not available for public.

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Dataset Description

This dataset consists of labeled fundus images classified into two categories: glaucoma and non-glaucoma. Each image includes annotations with polygonal shapes marking the disc and cup regions. But, not all of the fundus image is provided with cup annotation.

Data Structure

• Folder Structure:
  raw_image

  ├── raw/
  │   ├── fundus/
  │   ├── mask/
  ├── filtered/
  │   ├── fundus/
  │   ├── mask/
  ├── metadata/
  │   ├── glaucoma_annotations.json/
  │   ├── imgs_filtered_info.csv/
  │   ├── naming_convention.md/
  │   └── non_glaucoma_annotations.json/
  └── README.md
  

Dataset Summary

The OCT image is not provided to maintain patient confidentiality

Label	OCT	Fundus	Total Image	Patient
Non-glaucoma	60	197	257	41
Glaucoma	79	222	301	50
Total	139	419	558	91

The annotation information:

• Disc label dot → 30
• Cup label dot → 20

Author & Contributor

• Anindita Septiarini → Project Lead
• Nur Khomah Fatmawati → Data Collection
• Bugi Sulistiyo → Annotator & Data Preprocessing
• Eko Rahmat Darmawan → Annotator