mlsanityData to 14 Oct 2026

Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation

arXiv 1902.01040 ↗First posted 4 Feb 2019eess.IV cs.LG stat.MLcited by 7

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Abstract (arXiv)

Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening. In CFI, the central r

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Feb 2019.

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Citing papers per year: 2021: 2; 2022: 0; 2023: 2; 2024: 2; 2025: 1.

7 papers.

  1. 2021Applications of Deep Learning in Fundus Images: A Reviewcited by 59
  2. 2025A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Modelscited by 4
  3. 2021Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentationcited by 1
  4. 2023UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detectioncited by 1
  5. 2023EDDense-Net: Fully Dense Encoder Decoder Network for Joint Segmentation of Optic Cup and Disccited by 0
  6. 2024Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Imagescited by 0
  7. 2024AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Reviewcited by 0