Diabetic Retinopathy Lesion Discriminative Diagnostic System for Retinal Fundus Images
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2020/01/01
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Journal
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Indian UGC (journal)
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Refrences32
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Citations6
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Charu Bhardwaj Department of Electronics and Communication Engineering, JUIT Waknaghat
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Shruti Jain Department of Electronics and Communication Engineering, JUIT Waknaghat
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Meenakshi Sood Department of CDC, NITTTR
Cite
Bhardwaj, Charu, et al. “Diabetic Retinopathy Lesion Discriminative Diagnostic System for Retinal Fundus Images”. Advanced Biomedical Engineering, vol. 9, 2020, pp. 71-82, https://doi.org/10.14326/abe.9.71.
Bhardwaj, C., Jain, S., & Sood, M. (2020). Diabetic Retinopathy Lesion Discriminative Diagnostic System for Retinal Fundus Images. Advanced Biomedical Engineering, 9, 71-82. https://doi.org/10.14326/abe.9.71
Bhardwaj C, Jain S, Sood M. Diabetic Retinopathy Lesion Discriminative Diagnostic System for Retinal Fundus Images. Advanced Biomedical Engineering. 2020;9:71-82.
Journal Categories
Medicine
Medicine (General)
Medical technology
Science
Biology (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A Decision Support System for Automatic Screening of Non-proliferative Diabetic Retinopathy | Journal of Medical Systems |
| 21 | 2009 |
| Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy | Journal of Medical Systems |
| 23 | 2018 |
| Automated detection of retinal health using PHOG and SURF features extracted from fundus images | Applied Intelligence |
| 12 | 2017 |
| 10.1109/INTERCON.2017.8079692 | ||||
| Detection of microaneurysms in retinal images using an ensemble classifier | Informatics in Medicine Unlocked | 38 | 2017 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Classification and Pathologic Diagnosis of Gliomas in MR Brain Images | Procedia Computer Science | 2 | 2023 | |
| Retinal fundus image classification for diabetic retinopathy using SVM predictions | Physical and Engineering Sciences in Medicine |
| 10 | 2022 |
Retinal optical coherence tomography image analysis by a restricted Boltzmann machine | Biomedical Optics Express |
| 2022 | |
Improving the Curvelet Saliency and Deep Convolutional Neural Networks for Diabetic Retinopathy Classification in Fundus Images | Engineering, Technology & Applied Science Research |
| 5 | 2022 |
CT Image Segmentation Method of Liver Tumor Based on Artificial Intelligence Enabled Medical Imaging | Mathematical Problems in Engineering |
| 8 | 2021 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Hierarchical severity grade classification of non-proliferative diabetic retinopathy and was published in 2020. The most recent citation comes from a 2023 study titled Classification and Pathologic Diagnosis of Gliomas in MR Brain Images. This article reached its peak citation in 2022, with 3 citations. It has been cited in 6 different journals. Among related journals, the Procedia Computer Science cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.