{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T02:12:33Z","timestamp":1726107153871},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030630065"},{"type":"electronic","value":"9783030630072"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-63007-2_39","type":"book-chapter","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:02:39Z","timestamp":1606089759000},"page":"505-515","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Automated Grading in Diabetic Retinopathy Using Image Processing and Modified EfficientNet"],"prefix":"10.1007","author":[{"given":"Hung N.","family":"Pham","sequence":"first","affiliation":[]},{"given":"Ren Jie","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Yu Tian","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Shahril","family":"Mustafa","sequence":"additional","affiliation":[]},{"given":"Ngan Chong","family":"Yeo","sequence":"additional","affiliation":[]},{"given":"Hui Juin","family":"Lim","sequence":"additional","affiliation":[]},{"given":"Trang T. T.","family":"Do","sequence":"additional","affiliation":[]},{"given":"Binh P.","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Matthew Chin Heng","family":"Chua","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,23]]},"reference":[{"key":"39_CR1","unstructured":"The International Diabetes Federation: IDF Diabetes Atlas 7th Edition (2015)"},{"key":"39_CR2","doi-asserted-by":"publisher","first-page":"105055","DOI":"10.1016\/j.cmpb.2019.105055","volume":"182","author":"BP Nguyen","year":"2019","unstructured":"Nguyen, B.P., Pham, H.N., et al.: Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records. Comput. Methods Programs Biomed. 182, 105055 (2019)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"5","key":"39_CR3","doi-asserted-by":"publisher","first-page":"1047","DOI":"10.2337\/diacare.27.5.1047","volume":"27","author":"S Wild","year":"2004","unstructured":"Wild, S., Roglic, G., et al.: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27(5), 1047\u20131053 (2004)","journal-title":"Diabetes Care"},{"issue":"9","key":"39_CR4","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.1016\/S0161-6420(03)00475-5","volume":"110","author":"C Wilkinson","year":"2003","unstructured":"Wilkinson, C., Ferris III, F.L., et al.: Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology 110(9), 1677\u20131682 (2003)","journal-title":"Ophthalmology"},{"issue":"2","key":"39_CR5","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.diabres.2013.11.001","volume":"103","author":"J Beagley","year":"2014","unstructured":"Beagley, J., Guariguata, L., et al.: Global estimates of undiagnosed diabetes in adults. Diabetes Res. Clin. Pract. 103(2), 150\u2013160 (2014)","journal-title":"Diabetes Res. Clin. Pract."},{"issue":"10","key":"39_CR6","doi-asserted-by":"publisher","first-page":"1844","DOI":"10.2337\/dc15-0369","volume":"38","author":"MN Ozieh","year":"2015","unstructured":"Ozieh, M.N., Bishu, K.G., et al.: Trends in health care expenditure in US adults with diabetes: 2002\u20132011. Diabetes Care 38(10), 1844\u20131851 (2015)","journal-title":"Diabetes Care"},{"key":"39_CR7","first-page":"1345","volume":"8","author":"L Sellahewa","year":"2014","unstructured":"Sellahewa, L., Simpson, C., Maharajan, P., Duffy, J., Idris, I.: Grader agreement, and sensitivity and specificity of digital photography in a community optometry-based diabetic eye screening program. Clin. Ophthalmol. 8, 1345 (2014)","journal-title":"Clin. Ophthalmol."},{"issue":"12","key":"39_CR8","doi-asserted-by":"publisher","first-page":"2136","DOI":"10.1016\/j.compbiomed.2013.10.007","volume":"43","author":"MRK Mookiah","year":"2013","unstructured":"Mookiah, M.R.K., Acharya, U.R., et al.: Computer-aided diagnosis of diabetic retinopathy: a review. Comput. Biol. Med. 43(12), 2136\u20132155 (2013)","journal-title":"Comput. Biol. Med."},{"issue":"8","key":"39_CR9","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1016\/j.compmedimag.2009.06.003","volume":"33","author":"RJ Winder","year":"2009","unstructured":"Winder, R.J., Morrow, P.J., et al.: Algorithms for digital image processing in diabetic retinopathy. Comput. Med. Imaging Graph. 33(8), 608\u2013622 (2009)","journal-title":"Comput. Med. Imaging Graph."},{"issue":"1","key":"39_CR10","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1007\/BF02347689","volume":"40","author":"T Teng","year":"2002","unstructured":"Teng, T., Leey, M., Claremont, D.: Progress towards automated diabetic ocular screening: a review of image analysis and intelligent systems for diabetic retinopathy. Med. Biol. Eng. Comput. 40(1), 2\u201313 (2002)","journal-title":"Med. Biol. Eng. Comput."},{"issue":"1","key":"39_CR11","first-page":"33","volume":"32","author":"K Wisaeng","year":"2013","unstructured":"Wisaeng, K., Hiransakolwong, N., Pothiruk, E.: Automatic detection of retinal exudates using a support vector machine. Appl. Med. Inform. 32(1), 33\u201342 (2013)","journal-title":"Appl. Med. Inform."},{"key":"39_CR12","unstructured":"Cree, M.J., Gamble, E., Cornforth, D.J.: Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images. In: APRS Workshop on Digital Image Computing, pp. 163\u2013168, February 2005"},{"issue":"1","key":"39_CR13","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1046\/j.1464-5491.2003.01085.x","volume":"21","author":"D Usher","year":"2004","unstructured":"Usher, D., Dumskyj, M., et al.: Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening. Diabetic Med. 21(1), 84\u201390 (2004)","journal-title":"Diabetic Med."},{"key":"39_CR14","doi-asserted-by":"crossref","unstructured":"Zuiderveld, K.: Contrast limited adaptive histograph equalization. In: Graphic Gems IV, pp. 474\u2013485. Academic Press Professional, San Diego (1994)","DOI":"10.1016\/B978-0-12-336156-1.50061-6"},{"issue":"8","key":"39_CR15","doi-asserted-by":"publisher","first-page":"902","DOI":"10.1136\/bjo.83.8.902","volume":"83","author":"C Sinthanayothin","year":"1999","unstructured":"Sinthanayothin, C., Boyce, J.F., Cook, H.L., Williamson, T.H.: Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. Br. J. Ophthalmol. 83(8), 902\u2013910 (1999)","journal-title":"Br. J. Ophthalmol."},{"issue":"1","key":"39_CR16","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/S1361-8415(02)00093-2","volume":"7","author":"K Rapantzikos","year":"2003","unstructured":"Rapantzikos, K., Zervakis, M., Balas, K.: Detection and segmentation of drusen deposits on human retina: potential in the diagnosis of age-related macular degeneration. Med. Image Anal. 7(1), 95\u2013108 (2003)","journal-title":"Med. Image Anal."},{"key":"39_CR17","doi-asserted-by":"publisher","first-page":"012039","DOI":"10.1088\/1742-6596\/274\/1\/012039","volume":"274","author":"AG Marrugo","year":"2011","unstructured":"Marrugo, A.G., Mill\u00e1n, M.S.: Retinal image analysis: preprocessing and feature extraction. J. Phys. Conf. Ser. 274, 012039 (2011)","journal-title":"J. Phys. Conf. Ser."},{"issue":"2","key":"39_CR18","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1109\/TMI.2003.823261","volume":"23","author":"J Lowell","year":"2004","unstructured":"Lowell, J., Hunter, A., et al.: Optic nerve head segmentation. IEEE Trans. Med. Imaging 23(2), 256\u2013264 (2004)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"39_CR19","doi-asserted-by":"crossref","unstructured":"Goldbaum, M., Moezzi, S., et al.: Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images. In: Proceedings of the 3rd IEEE International Conference on Image Processing, vol. 3, pp. 695\u2013698 (1996)","DOI":"10.1109\/ICIP.1996.560760"},{"issue":"3","key":"39_CR20","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/S0169-2607(00)00065-1","volume":"62","author":"BM Ege","year":"2000","unstructured":"Ege, B.M., Hejlesen, O.K., et al.: Screening for diabetic retinopathy using computer based image analysis and statistical classification. Comput. Methods Programs Biomed. 62(3), 165\u2013175 (2000)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"2","key":"39_CR21","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1109\/TBME.2003.820400","volume":"51","author":"H Li","year":"2004","unstructured":"Li, H., Chutatape, O.: Automated feature extraction in color retinal images by a model based approach. IEEE Trans. Biomed. Eng. 51(2), 246\u2013254 (2004)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"39_CR22","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, C.I., Hornero, R., Lopez, M.I., Poza, J.: Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy. In: Proceedings of the 26th Annual International Conference in Medicine and Biology, vol. 1, pp. 1624\u20131627 (2004)","DOI":"10.1109\/IEMBS.2004.1403492"},{"issue":"11","key":"39_CR23","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1136\/bjo.80.11.940","volume":"80","author":"G Gardner","year":"1996","unstructured":"Gardner, G., Keating, D., Williamson, T.H., Elliott, A.T.: Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool. Br. J. Ophthalmol. 80(11), 940\u2013944 (1996)","journal-title":"Br. J. Ophthalmol."},{"issue":"9","key":"39_CR24","doi-asserted-by":"publisher","first-page":"1410","DOI":"10.1016\/j.ophtha.2018.02.037","volume":"125","author":"F Grassmann","year":"2018","unstructured":"Grassmann, F., Mengelkamp, J., et al.: A deep learning algorithm for prediction of age-related eye disease study severity scale for age-related macular degeneration from color fundus photography. Ophthalmology 125(9), 1410\u20131420 (2018)","journal-title":"Ophthalmology"},{"issue":"8","key":"39_CR25","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.1016\/j.ophtha.2018.01.034","volume":"125","author":"J Krause","year":"2018","unstructured":"Krause, J., Gulshan, V., et al.: Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. Ophthalmology 125(8), 1264\u20131272 (2018)","journal-title":"Ophthalmology"},{"key":"39_CR26","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.imu.2017.05.006","volume":"9","author":"M Habib","year":"2017","unstructured":"Habib, M., Welikala, R., et al.: Detection of microaneurysms in retinal images using an ensemble classifier. Inform. Med. Unlocked 9, 44\u201357 (2017)","journal-title":"Inform. Med. Unlocked"},{"issue":"22","key":"39_CR27","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1001\/jama.2016.17216","volume":"316","author":"V Gulshan","year":"2016","unstructured":"Gulshan, V., Peng, L., et al.: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA 316(22), 2402\u20132410 (2016)","journal-title":"JAMA"},{"issue":"1","key":"39_CR28","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.patcog.2012.07.002","volume":"46","author":"MU Akram","year":"2013","unstructured":"Akram, M.U., Khalid, S., Khan, S.A.: Identification and classification of microaneurysms for early detection of diabetic retinopathy. Pattern Recogn. 46(1), 107\u2013116 (2013)","journal-title":"Pattern Recogn."},{"issue":"4","key":"39_CR29","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1159\/000330285","volume":"226","author":"CM Oliveira","year":"2011","unstructured":"Oliveira, C.M., Cristovao, L.M., Ribeiro, M.L., Abreu, J.R.F.: Improved automated screening of diabetic retinopathy. Ophthalmologica 226(4), 191\u2013197 (2011)","journal-title":"Ophthalmologica"},{"issue":"3","key":"39_CR30","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1109\/TBME.2010.2096223","volume":"58","author":"K Ram","year":"2010","unstructured":"Ram, K., Joshi, G.D., Sivaswamy, J.: A successive clutter-rejection-based approach for early detection of diabetic retinopathy. IEEE Trans. Biomed. Eng. 58(3), 664\u2013673 (2010)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"6","key":"39_CR31","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1016\/j.media.2007.05.001","volume":"11","author":"T Walter","year":"2007","unstructured":"Walter, T., Massin, P., et al.: Automatic detection of microaneurysms in color fundus images. Med. Image Anal. 11(6), 555\u2013566 (2007)","journal-title":"Med. Image Anal."},{"key":"39_CR32","doi-asserted-by":"crossref","unstructured":"Nguyen, Q.H., Muthuraman, R., et al.: Diabetic retinopathy detection using deep learning. In: Proceedings of the 4th International Conference on Machine Learning and Soft Computing, pp. 103\u2013107 (2020)","DOI":"10.1145\/3380688.3380709"},{"key":"39_CR33","unstructured":"APTOS: APTOS 2019 blindness detection (2019). https:\/\/www.kaggle.com\/c\/aptos2019-blindness-detection"},{"key":"39_CR34","unstructured":"Tan, M., Le, Q.V.: EfficientNet: rethinking model scaling for convolutional neural networks. arXiv preprint arXiv:1905.11946, November 2019"},{"key":"39_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-01261-8_1","volume-title":"Computer Vision \u2013 ECCV 2018","author":"Y Wu","year":"2018","unstructured":"Wu, Y., He, K.: Group normalization. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11217, pp. 3\u201319. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01261-8_1"},{"key":"39_CR36","doi-asserted-by":"crossref","unstructured":"Tan, M., Chen, B., et al.: MnasNet: platform-aware neural architecture search for mobile. arXiv preprint arXiv:1807.11626, July 2018","DOI":"10.1109\/CVPR.2019.00293"},{"key":"39_CR37","unstructured":"Liu, L., Jiang, H., et al.: On the variance of the adaptive learning rate and beyond. arXiv preprint arXiv:1908.03265, August 2019"},{"key":"39_CR38","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980, December 2014"},{"issue":"2","key":"39_CR39","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1016\/j.eswa.2006.10.022","volume":"34","author":"A Ben-David","year":"2008","unstructured":"Ben-David, A.: Comparison of classification accuracy using Cohen\u2019s Weighted Kappa. Expert Syst. Appl. 34(2), 825\u2013832 (2008)","journal-title":"Expert Syst. Appl."},{"key":"39_CR40","unstructured":"Sabour, S., Frosst, N., Hinton, G.E.: Dynamic routing between capsules. In: Guyon, I., et al. (eds.) Advances in Neural Information Processing Systems 30, pp. 3856\u20133866 (2017)"},{"issue":"Suppl 23","key":"39_CR41","first-page":"1","volume":"20","author":"BP Nguyen","year":"2019","unstructured":"Nguyen, B.P., Nguyen, Q.H., et al.: iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks. BMC Bioinformatics 20(Suppl 23), 1\u201312 (2019)","journal-title":"BMC Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63007-2_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T21:26:45Z","timestamp":1723930005000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-63007-2_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030630065","9783030630072"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63007-2_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"23 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Da Nang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}