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Journal Abstract Search

197 related items for PubMed ID: 32605477

  • 1. Construction of benchmark retinal image database for diabetic retinopathy analysis.
    Kaur J, Mittal D.
    Proc Inst Mech Eng H; 2020 Sep; 234(9):1036-1048. PubMed ID: 32605477
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  • 2. Retinal images benchmark for the detection of diabetic retinopathy and clinically significant macular edema (CSME).
    Noor-Ul-Huda M, Tehsin S, Ahmed S, Niazi FAK, Murtaza Z.
    Biomed Tech (Berl); 2019 May 27; 64(3):297-307. PubMed ID: 30055096
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  • 3. CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading.
    Wei H, Shi P, Miao J, Zhang M, Bai G, Qiu J, Liu F, Yuan W.
    Comput Biol Med; 2024 Jun 27; 175():108459. PubMed ID: 38701588
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  • 4. Secondary Observer System for Detection of Microaneurysms in Fundus Images Using Texture Descriptors.
    Derwin DJ, Selvi ST, Singh OJ.
    J Digit Imaging; 2020 Feb 27; 33(1):159-167. PubMed ID: 31144148
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  • 5. A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection.
    AbdelMaksoud E, Barakat S, Elmogy M.
    Comput Biol Med; 2020 Nov 27; 126():104039. PubMed ID: 33068807
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  • 6. Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa.
    Arunga S, Morley KE, Kwaga T, Morley MG, Nakayama LF, Mwavu R, Kaggwa F, Ssempiira J, Celi LA, Haberer JE, Obua C.
    JMIR Form Res; 2024 Sep 18; 8():e59914. PubMed ID: 39293049
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  • 9. Classification of Diabetic Retinopathy Severity in Fundus Images Using the Vision Transformer and Residual Attention.
    Gu Z, Li Y, Wang Z, Kan J, Shu J, Wang Q.
    Comput Intell Neurosci; 2023 Sep 18; 2023():1305583. PubMed ID: 36636467
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  • 11. An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images.
    Adal KM, van Etten PG, Martinez JP, Rouwen KW, Vermeer KA, van Vliet LJ.
    IEEE Trans Biomed Eng; 2018 Jun 18; 65(6):1382-1390. PubMed ID: 28922110
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  • 12. ORIGA(-light): an online retinal fundus image database for glaucoma analysis and research.
    Zhang Z, Yin FS, Liu J, Wong WK, Tan NM, Lee BH, Cheng J, Wong TY.
    Annu Int Conf IEEE Eng Med Biol Soc; 2010 Jun 18; 2010():3065-8. PubMed ID: 21095735
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  • 15. Effective Fundus Image Decomposition for the Detection of Red Lesions and Hard Exudates to Aid in the Diagnosis of Diabetic Retinopathy.
    Romero-Oraá R, García M, Oraá-Pérez J, López-Gálvez MI, Hornero R.
    Sensors (Basel); 2020 Nov 16; 20(22):. PubMed ID: 33207825
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  • 17. Distinguising Proof of Diabetic Retinopathy Detection by Hybrid Approaches in Two Dimensional Retinal Fundus Images.
    S K, D M.
    J Med Syst; 2019 May 08; 43(6):173. PubMed ID: 31069550
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  • 20. Automatic non-proliferative diabetic retinopathy screening system based on color fundus image.
    Xiao Z, Zhang X, Geng L, Zhang F, Wu J, Tong J, Ogunbona PO, Shan C.
    Biomed Eng Online; 2017 Oct 26; 16(1):122. PubMed ID: 29073912
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