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

arXiv: https://arxiv.org/abs/1902.01040 · HTML: https://mlsanity.com/paper/1902.01040/

## Key facts

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

## Built on by (most cited first, 7 of 7)

- [Applications of Deep Learning in Fundus Images: A Review](https://mlsanity.com/paper/2101.09864/) (2021)
- [A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Models](https://mlsanity.com/paper/2508.03734/) (2025)
- [Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation](https://mlsanity.com/paper/2108.06772/) (2021)
- [UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection](https://mlsanity.com/paper/2303.04939/) (2023)
- [EDDense-Net: Fully Dense Encoder Decoder Network for Joint Segmentation of Optic Cup and Disc](https://mlsanity.com/paper/2308.10192/) (2023)
- [Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images](https://mlsanity.com/paper/2408.05052/) (2024)
- [AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review](https://mlsanity.com/paper/2410.15947/) (2024)

## 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