mlsanityData to 14 Oct 2026

Dataset and Evaluation algorithm design for GOALS Challenge

arXiv 2207.14447 ↗First posted 29 Jul 2022cs.CVcited by 13

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Abstract (arXiv)

Glaucoma causes irreversible vision loss due to damage to the optic nerve, and there is no cure for glaucoma.OCT imaging modality is an essential technique for assessing glaucomatous damage since it aids in quantifying fundus structures. To promote the research of AI technology in the field of OCT-assisted diagnosis of glaucoma, we held a Glaucoma OCT Analysis and Layer Segmentation (GOALS) Challenge in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022 to provide data and corresponding annotations for researchers studying layer segmentation from OCT images and the classification of glaucoma. This paper describes the released 300 circumpapillary OCT images, the baselines of the two sub-tasks, and the evaluation methodology. The GOALS Challenge is accessible at https://aistudio.baidu.com/aistudio/competition/detail/230.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 2 of its 13 references that are in the map. First posted on arXiv 29 Jul 2022.

Builds on

2 of 13 references.

References · 2

  1. 2018OCTID: Optical Coherence Tomography Image Databasecited by 36
  2. 2020Glaucoma Detection From Raw Circumapillary OCT Images Using Fully Convolutional Neural Networkscited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 2; 2025: 4; 2026: 3.

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  1. 2025MedSAM3: Delving into Segment Anything with Medical Conceptscited by 26
  2. 2023Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learningcited by 17
  3. 2023M2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentationcited by 13
  4. 2023PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotationcited by 11
  5. 2024MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Imagescited by 9
  6. 2025A Pragmatic Note on Evaluating Generative Models with Fr'echet Inception Distance for Retinal Image Synthesiscited by 9
  7. 2025RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentationcited by 7
  8. 2025MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysiscited by 7
  9. 2023Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentationcited by 4
  10. 2026Can Multimodal Large Language Models Understand OCT?cited by 3
  11. 2024AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Reviewcited by 0
  12. 2026LUMOS: Universal Semi-Supervised OCT Retinal Layer Segmentation with Hierarchical Reliable Mutual Learningcited by 0
1 more
  1. 2026C^2GR: Coupled Comprehensive Generative Replay for a Continually Learnable Universal Segmentation Modelcited by 0