Enhanced Nature Inspired-Support Vector Machine for Glaucoma Detection
Source abstract
Abstract
Glaucoma is a progressive eye disease that can lead to blindness if left untreated. Early detection is crucial to prevent vision loss, but current manual scanning methods are expensive, time-consuming, and require specialized... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Retinal Imaging and Analysis · Brain Tumor Detection and Classification · Digital Imaging for Blood Diseases
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (41)
Show source-provided references
1. M. C. Staff, “Glaucoma,” 2021. [Online]. Available: https://www.mayoclinic.org/ diseases-conditions/glaucoma/symptoms-causes/syc-20372839
2. Global prevalence of glaucoma and projections of glaucoma burden through 2040: A systematic review and meta-analysis
3. Neuro-optimized numerical treatment of HIV infection model10.1142/S1793524521500339 ↗
4. DCNNBT: A novel deep convolution neural network-based brain tumor classification model10.1142/S0218348X23401023 ↗
5. Brain tumor identification using data augmentation and transfer learning approach10.32604/csse.2023.033927 ↗
6. Planetscope nanosatellites image classification using machine learning10.32604/csse.2022.023221 ↗
7. VNN based automated weed detection system using UAV imagery
8. Deep learning in ophthalmology: A review
9. Diabetic retinopathy detection and classification using mixed models for a disease grading database10.1109/ACCESS.2021.3056186 ↗
10. Solving multi-objective functions for cancer treatment by using metaheuristic algorithms
11. Machine learning applied to retinal image processing for glaucoma detection: Review and perspective10.1186/s12938-020-00767-2 ↗
12. ODGNet: A deep learning model for automated optic disc localization and glaucoma classification using fundus images10.1007/s42452-022-04984-3 ↗
13. A large-scale database and a CNN model for attention-based glaucoma detection
14. A statistical robust glaucoma detection framework combining retinex, CNN, and DOE using fundus images10.1109/ACCESS.2021.3098032 ↗
15. 2-D compact variational mode decomposition-based automatic classification of glaucoma stages from fundus images10.1109/TIM.2021.3071223 ↗
16. Automatic classification of glaucoma stages using two-dimensional tensor empirical wavelet transform10.1109/LSP.2020.3045638 ↗
17. Optic cup segmentation from retinal fundus images using glowworm swarm optimization for glaucoma detection10.1016/j.bspc.2020.102004 ↗
18. Optic disc and cup segmentation by automatic thresholding with morphological operation for glaucoma evaluation10.1007/s11760-016-1043-x ↗
19. Automated detection of glaucoma using deep learning convolution network (G-net)10.1007/s11042-019-7460-4 ↗
20. DC-Gnet for detection of glaucoma in retinal fundus imaging
21. Glaucoma detection from retinal images using statistical and textural wavelet features
22. Improved grey wolf optimization-based feature selection and classification using CNN for diabetic retinopathy detection10.1007/978-981-16-9605-3_1 ↗
23. IGWO-IVNET3: Dl-based automatic diagnosis of lung nodules using an improved gray wolf optimization and inception net-V3
24. ModPSO-CNN: An evolutionary convolution neural network with application to visual recognition10.1007/s00500-020-05288-7 ↗
25. Designing a framework for communal software: Based on the assessment using relation modeling10.1007/s10766-018-0598-2 ↗
26. Grey wolf optimizer10.1016/j.advengsoft.2013.12.007 ↗
27. Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations
28. A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
29. A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis10.1016/j.eswa.2011.03.066 ↗
30. Evolving support vector machines using fruit fly optimization for medical data classification10.1016/j.knosys.2016.01.002 ↗
31. Classifying brain states and determining the discriminating activation patterns: Support vector machine on functional MRI data10.1016/j.neuroimage.2005.06.070 ↗
32. B. Schölkopf, C. J. C. Burges and A. J. Smola, “Kernal principal component analysis,” in Advances in Kernel Methods: Support Vector Learning, London, England: The MIT Press, chapter no. 20, 327–337, 1998.10.7551/mitpress/1130.003.0026 ↗
33. ORIGA-light: An online retinal fundus image database for glaucoma analysis and research
34. LIBSVM: A library for support vector machines10.1145/1961189.1961199 ↗
35. A novel deep learning approach to predict air quality index
36. Glaucoma detection using deep learning neural network on optic cup segmentation and cup-to-disc ratios
37. Glaucoma detection using transfer learning from inceptionV3 for feature extraction
38. Automated glaucoma detection using deep neural networks
39. An automated diagnosis of glaucoma using machine learning and image processing techniques
40. A glaucoma detection using convolutional neural network
41. Automated glaucoma detection based on retinal fundus images using texture and color features