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    Academic Journal

    Contributors: Исследование выполнено в рамках проекта № Ф23ИНДГ-004.

    Source: «System analysis and applied information science»; № 3 (2025); 47-58 ; Системный анализ и прикладная информатика; № 3 (2025); 47-58 ; 2414-0481 ; 2309-4923 ; 10.21122/2309-4923-2025-3

    File Description: application/pdf

    Relation: https://sapi.bntu.by/jour/article/view/763/550; Curran, K. Inclusion of diabetic retinopathy screening strategies in national-level diabetes care planning in low- and middle-income countries: a scoping review / K. Curran, P. Piyasena, N. Congdon [et al.] // Health Research Policy and Systems. 2023. Vol. 21, № 2. DOI:10.1186/s12961-022-00940-0; Nørgaard, M. F. Automated screening for diabetic retinopathy - A systematic review / M. F. Nørgaard, J. Grauslund // Ophthalmic research. 2018. Vol. 60, № 1. P. 9–17. DOI:10.1159/000486284; Павлов, В. Г. Современные тенденции скрининга диабетической ретинопатии / В. Г. Павлов, А. Л. Сидамонидзе, Д. В. Петрачков // Вестник офтальмологии. 2020. Т. 136, № 4. С. 300–309. DOI:10.17116/oftalma2020136042300; Avidor, D. Cost-effectiveness of diabetic retinopathy screening programs using telemedicine: a systematic review / D. Avidor, A. Loewenstein, M. Waisbourd, A. Nutman // Cost Effectiveness and Resource Allocation. 2020. Vol. 18. P. 1–9. DOI:10.1186/s12962-020-00211-1; Tung, T. H. Economic evaluation of screening for diabetic retinopathy among Chinese type 2 diabetics: a community-based study in Kinmen / T. H. Tung [и др.] // Taiwan. J Epidemiol. 2008. Vol. 18, № 5. P. 225–33. DOI:10.2188/jea.je2007439; Biswas, S. Which color channel is better for diagnosing retinal diseases automatically in color fundus photographs? / S. Biswas, Md. I. A. Khan, Md. T. Hossain, A. Biswas [et al.] // Life (Basel). 2022. Vol. 12, № 7. P. 973. DOI:10.3390/life12070973; Guo, T. Refined image quality assessment for color fundus photography based on deep learning / T. Guo, K. Liu, H. Zou [et al.] // Digital Health. 2024. Vol. 10. P. 1–13. DOI:10.1177/20552076231207582; 1000 Fundus images with 39 categories. URL: https://www.kaggle.com/datasets/linchundan/fundusimage1000/data (дата обращения: 19.05.2025).; Li T. Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening / Tao Li, Yingqi Gao, Kai Wang [et al.] // Information Sciences. 2019. Vol. 501. P. 511–522. DOI:10.1016/j.ins.2019.06.011; Lundström C. Technical report: Measuring digital image quality. 2006. 15 p.; Keelan B. Handbook of image quality: characterization and prediction / by Brian Keelan. CRC Press, 2002. 544 p. DOI:10.1201/9780203910825.; Голуб Ю. И., Старовойтов В. В. Оценка качества цифровых изображений. Минск : ОИПИ НАН Беларуси, 2023. 252 с.; Amin, J. A. Review on recent developments for detection of diabetic retinopathy / J. Amin, M. Sharif, M. Yasmin // Scientifica (Cairo). 2016. Vol. 2016 (6838976). DOI:10.1155/2016/6838976; Raja, D. S. S. Performance analysis of retinal image blood vessel segmentation / D. S. S. Raja, S. Vasuki, D. R. Kumar // Advanced Computing: An international journal. 2014. Vol. 5, № 2/3. P. 17–23. DOI:10.5121/acij.2014.5302; Long, S. Microaneurysms detection in color fundus images using machine learning based on directional local contrast / S. Long, J. Chen, A. Hu [et al.] // Biomedical engineering online. 2020. Vol. 19(21). DOI:10.1186/s12938-020-00766-3; Старовойтов, В. В. Оценка качества цифровых изображений сетчатки / В. В. Старовойтов, Ю. И. Голуб, М. М. Лукашевич // Системный анализ и прикладная информатика. 2021. № 4. С. 25–38.; Starovoitov, V. A universal retinal image template for automated screening of diabetic retinopathy / V. V. Starovoitov, Yu. I. Golub, M. V. Lukashevich // Pattern Recognition and Image Analysis. 2022. Vol 32. P. 322–331. 10.1134/S1054661822020195; https://sapi.bntu.by/jour/article/view/763

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    Academic Journal

    Source: Qainar Journal of Social Science; Том 3, № 4 (2024); 27-45 ; 2958-7220 ; 2958-7212

    File Description: application/pdf

    Relation: https://www.journal-kainar.kz/jour/article/view/286/53; De Bruin A., Lewis K. V. Traversing the Terrain of Context in Social Entrepreneurship // Journal of Social Entrepreneurship. – 2015. – P. 127–136. doi:10.1080/19420676.2015.1038005; Dacin P. A., Dacin M. T., Matear M. Social Entrepreneurship: Why We Don’t Need a New Theory and How We Move Forward from Here // Academy of Management Perspectives. – 2010. – Vol. 24. – No. 3. – P. 37–57. doi:10.5465/amp.24.3.37; Urban B., Kujinga L. The Institutional Environment and Social Entrepreneurship Intentions // International Journal of Entrepreneurial Behavior & Research. – 2017. – Vol. 23. – No. 4. – P. 638–655. doi:10.1108/IJEBR-07-2016-0218; Austin J., Stevenson H., Wei-Skillern J. Social and Commercial Entrepreneurship: Same, Different, or Both? // Entrepreneurship Theory and Practice. – 2006. – Vol. 30. – No. 1. – P. 1–22. doi:10.1111/j.1540-6520.2010.00397.x; Zahra S. A., Gedajlovic E., Neubaum D. O., Shulman J. M. A typology of social entrepreneurs: Motives, search processes and ethical challenges // Journal of Business Venturing. – 2009. – P. 519–532. doi:10.1016/j.jbusvent.2008.04.007; Nicholls A. The Legitimacy of Social Entrepreneurship: Reflexive Isomorphism in a Pre-Paradigmatic Field // Entrepreneurship Theory and Practice. – 2010. – Vol. 34. – No. 4. – P. 611–633. doi:10.1111/j.1540-6520.2010.00397.x; Littlewood D., Holt D. Social Entrepreneurship in South Africa: Exploring the Influence of Environment // Business & Society. – 2018. – Vol. 57. – No. 3. – P. 525–561. doi:10.1177/0007650315613293; Desa G., Koch J. L. Scaling Social Impact: Building Sustainable Social Ventures at the Base-of-the-Pyramid // Journal of Social Entrepreneurship. – 2014. – Vol. 5. – No. 2. – P. 146–174. doi:10.1080/19420676.2014.889739; Battilana J., Lee M., Walker J., Dorsey C. In Search of the Hybrid Ideal // Stanford Social Innovation Review. – 2012. – Vol. 10. – No. 3. – P. 51–55. doi:10.48558/4XKJ-7K34; Roundy P. T., Brockman B. K., Bradshaw M. The Resilience of Entrepreneurial Ecosystems // Journal of Business Venturing Insights. – 2017. – Vol. 8. – P. 99–104. doi:10.1016/j.jbvi.2017.08.002; Ebrahim A., Rangan V. K. What Impact? A Framework for Measuring the Scale and Scope of Social Performance // California Management Review. – 2014. – Vol. 56. – No. 3. – P. 118–141. doi:10.1525/cmr.2014.56.3.118; Nicholls A., Murdock A. The Nature of Social Innovation // Social Innovation: Blurring Boundaries to Reconfigure Markets. – 2012. – P. 1–30. doi:10.1057/9780230367098_1; Kerlin J. A. Defining Social Enterprise Across Different Contexts: A Conceptual Framework Based on Institutional Factors // Nonprofit and Voluntary Sector Quarterly. – 2013. – Vol. 42. – No. 1. – P. 84–108. doi:10.1177/0899764011433040; Defourny J., Nyssens M. Fundamentals for an International Typology of Social Enterprise Models // Voluntas: International Journal of Voluntary and Nonprofit Organizations. – 2017. – Vol. 28. – No. 6. – P. 2469–2497. doi:10.1007/s11266-017-9884-7

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