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Computer-Aided Diagnosis of Glaucoma at Early-Stage Using Retinal Fundus Images

PROCEEDINGS ARTICLE published 1 December 2021 in 2021 10th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON)

Authors: Deepak Parashar | Dheeraj Kumar Agrawal

https://doi.org/10.1109/iemecon53809.2021.9689175 Actions

CNN with Multiple Input for automatic glaucoma assessment using Fundus Images

POSTED CONTENT published

Authors: Abdelali ELMOUFIDI | Said Jai-andaloussi

https://doi.org/10.21203/rs.3.rs-610059/v1 Actions

Comparative Analysis of Glaucoma Diagnosis on Retinal Fundus Images Using AI Techniques

PROCEEDINGS ARTICLE published 23 March 2023 in 2023 4th International Conference on Signal Processing and Communication (ICSPC)

Authors: Bibiya Susan Abraham | Dalaali Gousiya Bhanu | Anna Thomas | J. Anitha

https://doi.org/10.1109/icspc57692.2023.10125682 Actions

Using Brightness Distribution in Fundus Images to Automated Glaucoma Detection

PROCEEDINGS ARTICLE published 21 May 2023 in 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA)

Authors: Zakia Ahmed | Ahmed Lawgali

https://doi.org/10.1109/mi-sta57575.2023.10169822 Actions

Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform From Retinal Fundus Images

JOURNAL ARTICLE published 1 November 2020 in IEEE Sensors Journal

Authors: Deepak Parashar | Dheeraj Kumar Agrawal

https://doi.org/10.1109/jsen.2020.3001972 Actions

Assessment of retinopathy severity using digital fundus images

PROCEEDINGS ARTICLE published February 2011 in 2011 1st Middle East Conference on Biomedical Engineering

Authors: Hasan Mir | Hasan Al-Nashash | U. R. Acharya

https://doi.org/10.1109/mecbme.2011.5752100 Actions

AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images

JOURNAL ARTICLE published June 2024 in Image and Vision Computing

Research funded by Science and Engineering Research Board (SRG/2020/001460)

Authors: Dipankar Das | Deepak Ranjan Nayak | Ram Bilas Pachori

https://doi.org/10.1016/j.imavis.2024.105042 Actions

A Review of Glaucoma Detection from Digital Fundus Images using Machine Learning Techniques

PROCEEDINGS ARTICLE published 29 October 2020 in 2020 International Conference on e-Health and Bioengineering (EHB)

Authors: Ana-Maria Stefan | Elena-Anca Paraschiv | Silvia Ovreiu | Elena Ovreiu

https://doi.org/10.1109/ehb50910.2020.9280218 Actions

CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images

JOURNAL ARTICLE published 2023 in IEEE Transactions on Instrumentation and Measurement

Research funded by Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India (SRG/2020/001460)

Authors: Dipankar Das | Deepak Ranjan Nayak | Ram Bilas Pachori

https://doi.org/10.1109/tim.2023.3322499 Actions

Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images

JOURNAL ARTICLE published November 2019 in IET Image Processing

Authors: Dheeraj Kumar Agrawal | Bhupendra Singh Kirar | Ram Bilas Pachori

https://doi.org/10.1049/iet-ipr.2019.0036 Actions

Automated Glaucoma Identification Using Retinal Fundus Images

BOOK CHAPTER published 30 January 2014 in Image Analysis and Modeling in Ophthalmology

Authors: Muthu Mookiah | U Acharya | Chandan Chakraborty | Lim Min | Eddie Ng | Jasjit Suri

https://doi.org/10.1201/b16510-3 Actions

Accurate Diagnosis of Diabetic Retinopathy and Glaucoma Using Retinal Fundus Images Based on Hybrid Features and Genetic Algorithm

JOURNAL ARTICLE published 2 July 2021 in Applied Sciences

Authors: Nasser Tamim | Mohamed Elshrkawey | Hamed Nassar

https://doi.org/10.3390/app11136178 Actions

Automated Optic Disc and Cup Segmentation for Glaucoma Detection from Fundus Images Using the Detectron2's Mask R-CNN

PROCEEDINGS ARTICLE published 20 October 2022 in 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

Authors: Fengze Wu | Marion Chiariglione | Xiaoyi Raymond Gao

https://doi.org/10.1109/ismsit56059.2022.9932660 Actions

Identifying glaucoma fundus images using image processing

JOURNAL ARTICLE published 1 July 2020 in International Journal of Communication and Information Technology

Authors: Sai Sravanthi Kammala

https://doi.org/10.33545/2707661x.2020.v1.i2a.17 Actions

An Automated Glaucoma Detection Model to Estimate Glaucoma Abnormalities in Fundus Images Using CNN

BOOK CHAPTER published 2021 in Technical Advancements of Machine Learning in Healthcare

Authors: A. Prashanthi | P. V. Rao | Santhosh Kumar | V. Sreepathi | A. Y. Prasad

https://doi.org/10.1007/978-981-33-4698-7_12 Actions

Real-Time Glaucoma Detection From Digital Fundus Images Using Self-ONNs

JOURNAL ARTICLE published 2021 in IEEE Access

Authors: Ozer Can Devecioglu | Junaid Malik | Turker Ince | Serkan Kiranyaz | Eray Atalay | Moncef Gabbouj

https://doi.org/10.1109/access.2021.3118102 Actions

Classification of Glaucoma Stages Using Image Empirical Mode Decomposition from Fundus Images

JOURNAL ARTICLE published October 2022 in Journal of Digital Imaging

Authors: Deepak Parashar | Dheraj Kumar Agrawal

https://doi.org/10.1007/s10278-022-00648-1 Actions

The many challenges in automated glaucoma diagnosis based on fundus imaging

JOURNAL ARTICLE published 2021 in Indian Journal of Ophthalmology

Authors: R Krishnadas

https://doi.org/10.4103/ijo.ijo_2294_21 Actions

Automated Glaucoma Screening in Retinal Fundus Images

JOURNAL ARTICLE published 31 October 2015 in International Journal of Multimedia and Ubiquitous Engineering

Authors: Srinivasan Aruchamy | Partha Bhattacharjee | Goutam Sanyal

https://doi.org/10.14257/ijmue.2015.10.9.14 Actions

Automated glaucoma diagnosis using deep learning approach

PROCEEDINGS ARTICLE published March 2017 in 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)

Authors: Baidaa Al-Bander | Waleed Al-Nuaimy | Majid A. Al-Taee | Yalin Zheng

https://doi.org/10.1109/ssd.2017.8166974 Actions
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