Optic Disc Segmentation

5 papers with code • 6 benchmarks • 3 datasets

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Greatest papers with code

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

HzFu/MNet_DeepCDR 7 Mar 2019

In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.

Cell Segmentation Optic Disc Segmentation +1

Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation

utkuozbulak/adaptive-segmentation-mask-attack 30 Jul 2019

Given that a large portion of medical imaging problems are effectively segmentation problems, we analyze the impact of adversarial examples on deep learning-based image segmentation models.

Lesion Segmentation Optic Disc Segmentation +1

Deep Retinal Image Understanding

PB17151764/2020UM-Summer-Research 5 Sep 2016

This paper presents Deep Retinal Image Understanding (DRIU), a unified framework of retinal image analysis that provides both retinal vessel and optic disc segmentation.

General Classification Image Classification +2

Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images

AbdullahSarhan/ACCVDiscSegmentation 1 Oct 2020

Accurate segmentation of the optic disc from a retinal image is vital to extracting retinal features that may be highly correlated with retinal conditions such as glaucoma.

Optic Disc Segmentation Transfer Learning