Fundus Image-Based Macular Edema Detection Using Convolutional Neural Network-Reference-Cited by-同舟云学术

Fundus Image-Based Macular Edema Detection Using Convolutional Neural Network

Published:2021 Issue: Volume: Page:143-153
ISSN:1876-1100
Container-title:Advances in Systems, Control and Automations
language:
Short-container-title:

Author:

Aravindan C.,Sharma Vedang,Thaarik Ahamed A.,Yadav Mudit,Chandran Sharath

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8685-9_14

Reference10 articles.

1. F.K.P. Sutter, M.C. Gillies, H. Helbig, in Diabetic Macular Edema: Current Treatments. Medical Retina, (Springer, Berlin, Germany, 2007), pp. 131–146

2. C. Agurto, V. Murray, A multiscale optimization approach to detect exudates in the macula. IEEE J. Biomed. Health Inf. 18(4), 1328–1336 (2014)

3. A. Johny, A. Thomas, A novel approach for detection of diabetic macular edema. Proc. Int. Conf. Emerg. Trends Eng. Technol. Sci. (ICETETS), 1–4 (2016)

4. A.M. Syed, M.U. Akram, T. Akram, M. Muzammal, S. Khalid, M.A. Khan, Fundus images-based detection and grading of macular edema using robust macula localization. IEEE Acc. 6, 58784–58793 (2018)

5. A. Abhishek, A. Joshi, K. Madan, T.R. Dastidar, Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning, in IEEE 15th International Symposium on Biomedical Imaging (ISBI) (2018), pp. 1427–1430

Cited by 2 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. Automated Segmentation of Macula in Retinal Images Using Deep Learning Methodology;Lecture Notes in Electrical Engineering;2024

2. Detection and Classification of Early Stage Diabetic Retinopathy using Artificial Intelligence and Image Processing;2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2023-01-05