mlsanityData to 7 Oct 2026

Learning to screen Glaucoma like the ophthalmologists

arXiv 2209.11431 ↗First posted 23 Sep 2022eess.IV cs.CVcited by 0

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Abstract (arXiv)

GAMMA Challenge is organized to encourage the AI models to screen the glaucoma from a combination of 2D fundus image and 3D optical coherence tomography volume, like the ophthalmologists.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 9 references that are in the map. First posted on arXiv 23 Sep 2022.

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4 of 9 references.

References · 4

  1. 2018Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Losscited by 60
  2. 2018Disc-aware Ensemble Network for Glaucoma Screening from Fundus Imagecited by 39
  3. 2021Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentationcited by 39
  4. 2022Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentationcited by 16

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