A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images-Reference-Cited by-同舟云学术

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A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images

Published:2021-07 Issue: Volume:174 Page:114697
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Escorcia-Gutierrez José,Torrents-Barrena Jordina,Gamarra Margarita,Romero-Aroca Pedro,Valls Aida,Puig Domenec

Funder

European Regional Development Fund

Fundación Carolina

Instituto de Salud Carlos III

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Localization and segmentation of optic disc in retinal images using circular hough transform and grow cut algorithm;Abdullah;PeerJ,2016

2. A deep learning model for the detection of both advanced and early glaucoma using fundus photography;Ahn;PloS one,2018

3. Dense fully convolutional segmentation of the optic disc and cup in colour fundus for glaucoma diagnosis;Al-Bander;Symmetry,2018

4. Almazroa, A., Burman, R., Raahemifar, K., & Lakshminarayanan, V. (2015). Optic disc and optic cup segmentation methodologies for glaucoma image detection: a survey. Journal of Ophthalmology, 2015.

5. Optic disc detection and boundary extraction in retinal images;Basit;Applied Optics,2015

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1. Nature inspired optimization algorithms for medical image segmentation: a comprehensive review;Cluster Computing;2024-08-01

2. SAMCF: Adaptive global style alignment and multi-color spaces fusion for joint optic cup and disc segmentation;Computers in Biology and Medicine;2024-08

3. Portfolio optimization based on quantum linear algorithm;Physica Scripta;2024-07-09

4. Multi-Scale Attention U-Net for Optic Disc and Optic Cup Segmentation in Retinal Fundus Images;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

5. Glaucoma stage classification using UNET-based segmentation with multiple feature extraction technique;Multimedia Tools and Applications;2024-02-14

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