Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning

Author:

Avramidis Kleanthis1,Rostami Mohammad1,Chang Melinda2,Narayanan Shrikanth1

Affiliation:

1. University of Southern California,Signal Analysis and Interpretation Lab,Los Angeles,CA,90089

2. University of Southern California,USC Roski Eye Institute,Los Angeles,CA,90089

Publisher

IEEE

Reference22 articles.

1. Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images

2. Accuracy of Funduscopy to Identify True Edema versus Pseudoedema of the Optic Disc

3. Two-stage Framework for Optic Disc Localization and Glaucoma Classification in Retinal Fundus Images using Deep Learning;bajwa;BMC Medical Informatics and Decision Making,2019

4. Retinal Images: Optic Disk Localization and Detection

5. VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from radiographs;nguyen;Int Conf Med Image Comput Comput Interv,2021

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust internal representations for domain generalization;AI Magazine;2023-10-26

2. Deceptive Tricks in Artificial Intelligence: Adversarial Attacks in Ophthalmology;Journal of Clinical Medicine;2023-05-04

3. Intelligent Papilledema Detector (IPD);2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS);2023-02-01

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