{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T15:48:47Z","timestamp":1750261727474,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T00:00:00Z","timestamp":1592524800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,6,19]]},"DOI":"10.1145\/3407982.3408011","type":"proceedings-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T05:02:40Z","timestamp":1598418160000},"page":"61-65","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Software Platform for Retinal Disease Diagnosis Through Deep Convolutional Neural Networks"],"prefix":"10.1145","author":[{"given":"Venci","family":"Mihalov","sequence":"first","affiliation":[{"name":"Computer Systems, Technical University - Sofia, Sofia, Bulgaria"}]},{"given":"Desislav","family":"Andreev","sequence":"additional","affiliation":[{"name":"Computer Systems, Technical University - Sofia, Sofia, Bulgaria"}]},{"given":"Milena","family":"Lazarova","sequence":"additional","affiliation":[{"name":"Computer Systems, Technical University - Sofia, Sofia, Bulgaria"}]}],"member":"320","published-online":{"date-parts":[[2020,8,25]]},"reference":[{"volume-title":"Epidemiology of age-related macular degeneration (AMD): associations with cardiovascular disease phenotypes and lipid factors. Eye and Vision","author":"Pennington K. L.","key":"e_1_3_2_1_1_1","unstructured":"K. L. Pennington and M. M. DeAngelis , 2016. Epidemiology of age-related macular degeneration (AMD): associations with cardiovascular disease phenotypes and lipid factors. Eye and Vision , Vol. 3 , article 34, doi: 10.1186\/s40662-016-0063-5 K. L. Pennington and M. M. DeAngelis, 2016. Epidemiology of age-related macular degeneration (AMD): associations with cardiovascular disease phenotypes and lipid factors. Eye and Vision, Vol. 3, article 34, doi: 10.1186\/s40662-016-0063-5"},{"key":"e_1_3_2_1_2_1","volume-title":"Eye and Vision","volume":"3","author":"Lee R.","unstructured":"R. Lee , T.Y. Wong and C. Sabanayagam , 2015. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss . Eye and Vision , Vol. 3 , article 17, doi: 10.1186\/s40662-015-0026-2 R. Lee, T.Y. Wong and C. Sabanayagam, 2015. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss. Eye and Vision, Vol. 3, article 17, doi: 10.1186\/s40662-015-0026-2"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.preteyeres.2018.07.004"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2018-313173"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcjo.2018.04.019"},{"key":"e_1_3_2_1_6_1","article-title":"Deep learning in medical image analysis: a third eye for doctors","volume":"10","author":"Arthur F.","year":"2019","unstructured":"F. Arthur and K. R. Hossein , 2019 . Deep learning in medical image analysis: a third eye for doctors . Journal of Stomatology, Oral and Maxillofacial Surgery. doi : 10 .1016\/j.jormas.2019.06.002 F. Arthur and K. R. Hossein, 2019. Deep learning in medical image analysis: a third eye for doctors. Journal of Stomatology, Oral and Maxillofacial Surgery. doi: 10.1016\/j.jormas.2019.06.002","journal-title":"Journal of Stomatology, Oral and Maxillofacial Surgery. doi"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamaophthalmol.2013.1743"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2018-313173"},{"key":"e_1_3_2_1_10_1","unstructured":"Y. Zhen L. Wang H. Liu J. Zhang and J. Pu 2018. Performance assessment of the deep learning technologies in grading glaucoma severity. https:\/\/arxiv.org\/ftp\/arxiv\/papers\/1810\/1810.13376.pdf.  Y. Zhen L. Wang H. Liu J. Zhang and J. Pu 2018. Performance assessment of the deep learning technologies in grading glaucoma severity. https:\/\/arxiv.org\/ftp\/arxiv\/papers\/1810\/1810.13376.pdf."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0107-6"},{"volume-title":"Proc. of 6th International Conference on Learning Representations","author":"Simonyan K.","key":"e_1_3_2_1_12_1","unstructured":"K. Simonyan and A. Zisserman , 2015. Very deep convolutional networks for large-scale image recognition . Proc. of 6th International Conference on Learning Representations , San Diego, USA, https:\/\/arxiv.org\/abs\/1409.1556. K. Simonyan and A. Zisserman, 2015. Very deep convolutional networks for large-scale image recognition. Proc. of 6th International Conference on Learning Representations, San Diego, USA, https:\/\/arxiv.org\/abs\/1409.1556."},{"volume-title":"Proc. of 5th International Conference on Learning Representations","author":"Molchanov P.","key":"e_1_3_2_1_13_1","unstructured":"P. Molchanov , S. Tyree , T. Karras , T. Aila and J. Kautz , 2017. Pruning convolutional neural networks for resource efficient transfer learning . Proc. of 5th International Conference on Learning Representations , Toulon, France, https:\/\/arxiv.org\/pdf\/1611.06440.pdf. P. Molchanov, S. Tyree, T. Karras, T. Aila and J. Kautz, 2017. Pruning convolutional neural networks for resource efficient transfer learning. Proc. of 5th International Conference on Learning Representations, Toulon, France, https:\/\/arxiv.org\/pdf\/1611.06440.pdf."},{"key":"e_1_3_2_1_14_1","unstructured":"M. T. Hagos and S. Kant 2019. Transfer learning based detection of diabetic retinopathy from small dataset. https:\/\/arxiv.org\/pdf\/1905.07203.pdf.  M. T. Hagos and S. Kant 2019. Transfer learning based detection of diabetic retinopathy from small dataset. https:\/\/arxiv.org\/pdf\/1905.07203.pdf."},{"volume-title":"Deep Learning, Adaptive Computation and Machine Learning","author":"Goodfellow I.","key":"e_1_3_2_1_15_1","unstructured":"I. Goodfellow , Y. Bengio , A. Courville , 2016. Deep Learning, Adaptive Computation and Machine Learning , MIT Press . I. Goodfellow, Y. Bengio, A. Courville, 2016. Deep Learning, Adaptive Computation and Machine Learning, MIT Press."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.29322\/IJSRP.9.10.2019.p9420"},{"key":"e_1_3_2_1_17_1","unstructured":"http:\/\/www.image-net.org  http:\/\/www.image-net.org"},{"key":"e_1_3_2_1_18_1","unstructured":"https:\/\/neurohive.io\/en\/popular-networks\/vgg16  https:\/\/neurohive.io\/en\/popular-networks\/vgg16"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"e_1_3_2_1_20_1","unstructured":"https:\/\/data.mendeley.com\/datasets\/rscbjbr9sj\/2  https:\/\/data.mendeley.com\/datasets\/rscbjbr9sj\/2"},{"key":"e_1_3_2_1_21_1","unstructured":"P. Gholami P. Roy and V. Lakshminarayanan 2018 Central serous retinopathy retinal OCT images https:\/\/doi.org\/10.5683\/SP\/FVLZIL  P. Gholami P. Roy and V. Lakshminarayanan 2018 Central serous retinopathy retinal OCT images https:\/\/doi.org\/10.5683\/SP\/FVLZIL"},{"key":"e_1_3_2_1_22_1","unstructured":"V. Lakshminarayanan P. Gholami and P. Roy 2018 Macular Hole Retinal OCT images https:\/\/doi.org\/10.5683\/SP\/MBMQGD  V. Lakshminarayanan P. Gholami and P. Roy 2018 Macular Hole Retinal OCT images https:\/\/doi.org\/10.5683\/SP\/MBMQGD"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888639"}],"event":{"name":"CompSysTech '20: International Conference on Computer Systems and Technologies '20","sponsor":["UORB University of Ruse, Bulgaria"],"location":"Ruse Bulgaria","acronym":"CompSysTech '20"},"container-title":["Proceedings of the 21st International Conference on Computer Systems and Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3407982.3408011","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3407982.3408011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:58Z","timestamp":1750199938000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3407982.3408011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,19]]},"references-count":23,"alternative-id":["10.1145\/3407982.3408011","10.1145\/3407982"],"URL":"https:\/\/doi.org\/10.1145\/3407982.3408011","relation":{},"subject":[],"published":{"date-parts":[[2020,6,19]]},"assertion":[{"value":"2020-08-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}