{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T04:14:25Z","timestamp":1745986465192,"version":"3.40.4"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031876592","type":"print"},{"value":"9783031876608","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-87660-8_3","type":"book-chapter","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T12:06:43Z","timestamp":1745928403000},"page":"35-48","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Glaucoma Detection Using Structural Features and\u00a0Taxonomic Indices"],"prefix":"10.1007","author":[{"given":"Weverton Lucas Santos","family":"Trindade","sequence":"first","affiliation":[]},{"given":"Jo\u00e3o Dallyson Sousa","family":"Almeida","sequence":"additional","affiliation":[]},{"given":"Geraldo Braz","family":"Junior","sequence":"additional","affiliation":[]},{"given":"Arist\u00f3fanes Correa","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Anselmo Cardoso de","family":"Paiva","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,30]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Abraham, B.S., Bhanu, D.G., Thomas, A., Anitha, J.: Comparative analysis of glaucoma diagnosis on retinal fundus images using ai techniques. In: 2023 4th International Conference on Signal Processing and Communication (ICSPC), pp. 386\u2013390. IEEE (2023)","DOI":"10.1109\/ICSPC57692.2023.10125682"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Ahmed, Z., Lawgali, A.: Using brightness distribution in fundus images to automated glaucoma detection. In: 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), pp. 492\u2013496. IEEE (2023)","DOI":"10.1109\/MI-STA57575.2023.10169822"},{"issue":"3","key":"3_CR3","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1080\/00031305.1992.10475879","volume":"46","author":"NS Altman","year":"1992","unstructured":"Altman, N.S.: An introduction to kernel and nearest-neighbor nonparametric regression. Am. Stat. 46(3), 175\u2013185 (1992)","journal-title":"Am. Stat."},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"12987","DOI":"10.1007\/s11042-018-6429-z","volume":"78","author":"J Ara\u00fajo","year":"2019","unstructured":"Ara\u00fajo, J., et al.: Glaucoma diagnosis in fundus eye images using diversity indexes. Multimedia Tools Appli. 78, 12987\u201313004 (2019)","journal-title":"Multimedia Tools Appli."},{"key":"3_CR5","unstructured":"Azevedo, L.M., et al.: Diagn\u00f3stico de glaucoma em retinografias usando \u00edndices taxon\u00f4micos e aprendizado de m\u00e1quina. Revista de Sistemas e Computa\u00e7\u00e3o-RSC 10(1) (2020)"},{"key":"3_CR6","doi-asserted-by":"crossref","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","DOI":"10.1023\/A:1010933404324"},{"key":"3_CR7","doi-asserted-by":"publisher","first-page":"208","DOI":"10.5201\/ipol.2011.bcm_nlm","volume":"1","author":"A Buades","year":"2011","unstructured":"Buades, A., Coll, B., Morel, J.M.: Non-local means denoising. Image Process. Line 1, 208\u2013212 (2011)","journal-title":"Image Process. Line"},{"issue":"5","key":"3_CR8","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1109\/TIP.2005.864170","volume":"15","author":"D Coltuc","year":"2006","unstructured":"Coltuc, D., Bolon, P., Chassery, J.M.: Exact histogram specification. IEEE Trans. Image Process. 15(5), 1143\u20131152 (2006)","journal-title":"IEEE Trans. Image Process."},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Fran\u00e7a, J.V.F., da\u00a0Silva, G.L.F., dos Santos, P.T.C., Junior, G.B., Silva, A.C., de\u00a0Cavalcanti, E.A.A.: Taxonomic indexes for automatic prostate segmentation on 3d mri scans using superpixels and probabilistic atlas. In: 2020 International Conference on Systems, Signals and Image Processing (IWSSIP), pp. 122\u2013127. IEEE (2020)","DOI":"10.1109\/IWSSIP48289.2020.9145086"},{"issue":"4","key":"3_CR10","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","volume":"38","author":"JH Friedman","year":"2002","unstructured":"Friedman, J.H.: Stochastic gradient boosting. Comput. Stat. Data Anal. 38(4), 367\u2013378 (2002)","journal-title":"Comput. Stat. Data Anal."},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Fumero, F., Alay\u00f3n, S., Sanchez, J.L., Sigut, J., Gonzalez-Hernandez, M.: Rim-one: an open retinal image database for optic nerve evaluation. In: 2011 24th International Symposium on Computer-based Medical Systems (CBMS), pp.\u00a01\u20136. IEEE (2011)","DOI":"10.1109\/CBMS.2011.5999143"},{"issue":"1","key":"3_CR12","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10994-006-6226-1","volume":"63","author":"P Geurts","year":"2006","unstructured":"Geurts, P., Ernst, D., Wehenkel, L.: Extremely randomized trees. Mach. Learn. 63(1), 3\u201342 (2006)","journal-title":"Mach. Learn."},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Gour, N., Khanna, P.: Automated glaucoma detection using gist and pyramid histogram of oriented gradients (phog) descriptors. Pattern Recogn. Lett. 137, 3\u201311 (2020)","DOI":"10.1016\/j.patrec.2019.04.004"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Group, E.D.P.R., et al.: Prevalence of open-angle glaucoma among adults in the united states. Arch. Ophthalmol. 122(4), 532 (2004)","DOI":"10.1001\/archopht.122.4.532"},{"issue":"4","key":"3_CR15","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/5254.708428","volume":"13","author":"MA Hearst","year":"1998","unstructured":"Hearst, M.A., Dumais, S.T., Osuna, E., Platt, J., Scholkopf, B.: Support vector machines. IEEE Intell. Syst. Appli. 13(4), 18\u201328 (1998)","journal-title":"IEEE Intell. Syst. Appli."},{"issue":"3","key":"3_CR16","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/BF00456668","volume":"2","author":"J Izs\u00e1ki","year":"1995","unstructured":"Izs\u00e1ki, J., Papp, L.: Application of the quadratic entropy indices for diversity studies of drosophilid assemblages. Environ. Ecol. Stat. 2(3), 213\u2013224 (1995)","journal-title":"Environ. Ecol. Stat."},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1007\/BF00946938","volume":"235","author":"JB Jonas","year":"1997","unstructured":"Jonas, J.B., Dichtl, A.: Optic disc morphology in myopic primary open-angle glaucoma. Graefes Arch. Clin. Exp. Ophthalmol. 235, 627\u2013633 (1997)","journal-title":"Graefes Arch. Clin. Exp. Ophthalmol."},{"issue":"7","key":"3_CR18","first-page":"1151","volume":"29","author":"JB Jonas","year":"1988","unstructured":"Jonas, J.B., Gusek, G.C., Naumann, G.: Optic disc, cup and neuroretinal rim size, configuration and correlations in normal eyes. Investigative Ophthalmol. Vis. Sci. 29(7), 1151\u20131158 (1988)","journal-title":"Investigative Ophthalmol. Vis. Sci."},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Joshua, A.O., Mabuza-Hocquet, G., Nelwamondo, F.V.: Assessment of the cup-to-disc ratio method for glaucoma detection. In: 2020 International SAUPEC\/RobMech\/PRASA Conference, pp.\u00a01\u20135. IEEE (2020)","DOI":"10.1109\/SAUPEC\/RobMech\/PRASA48453.2020.9041005"},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Jumanto, J., Nugraha, F.W., Harjoko, A., Muslim, M.A., Alabid, N.N.: Mix histogram and gray level co-occurrence matrix to improve glaucoma prediction machine learning. J. Soft Comput. Exploration 4(1) (2023)","DOI":"10.52465\/joscex.v4i1.99"},{"key":"3_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00138-019-01050-8","volume":"31","author":"M Juneja","year":"2020","unstructured":"Juneja, M., Thakur, S., Wani, A., Uniyal, A., Thakur, N., Jindal, P.: Dc-gnet for detection of glaucoma in retinal fundus imaging. Mach. Vis. Appl. 31, 1\u201314 (2020)","journal-title":"Mach. Vis. Appl."},{"key":"3_CR22","doi-asserted-by":"publisher","unstructured":"Moon, J., Park, K.H., Kim, D.M., Kim, S.H.: Factors affecting isnt rule satisfaction in normal and glaucomatous eyes. Korean J. Ophthalmol. 32 (2018). https:\/\/doi.org\/10.3341\/kjo.2017.0031","DOI":"10.3341\/kjo.2017.0031"},{"key":"3_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103875","volume":"77","author":"S Nawaldgi","year":"2022","unstructured":"Nawaldgi, S., Lalitha, Y.: Automated glaucoma assessment from color fundus images using structural and texture features. Biomed. Signal Process. Control 77, 103875 (2022)","journal-title":"Biomed. Signal Process. Control"},{"key":"3_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101570","volume":"59","author":"JI Orlando","year":"2020","unstructured":"Orlando, J.I., et al.: Refuge challenge: a unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Med. Image Anal. 59, 101570 (2020)","journal-title":"Med. Image Anal."},{"key":"3_CR25","doi-asserted-by":"crossref","unstructured":"Pizer, S.M., Amburn, E.P., et al.: Adaptive histogram equalization and its variations. Comput. Vis. Graph. Image Process. 39(3), 355\u2013368 (1987)","DOI":"10.1016\/S0734-189X(87)80186-X"},{"key":"3_CR26","doi-asserted-by":"crossref","unstructured":"Salam, A.A., Akram, M.U., Wazir, K., Anwar, S.M., Majid, M.: Autonomous glaucoma detection from fundus image using cup to disc ratio and hybrid features. In: 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 370\u2013374. IEEE (2015)","DOI":"10.1109\/ISSPIT.2015.7394362"},{"key":"3_CR27","doi-asserted-by":"crossref","unstructured":"Sivaswamy, J., Krishnadas, S., Joshi, G.D., Jain, M., Tabish, A.U.S.: Drishti-gs: retinal image dataset for optic nerve head (onh) segmentation. In: 2014 IEEE 11th international symposium on biomedical imaging (ISBI), pp. 53\u201356. IEEE (2014)","DOI":"10.1109\/ISBI.2014.6867807"},{"key":"3_CR28","doi-asserted-by":"crossref","unstructured":"Song, F., Guo, Z., Mei, D.: Feature selection using principal component analysis. In: 2010 International Conference on System Science, Engineering Design and Manufacturing Informatization, vol.\u00a01, pp. 27\u201330. IEEE (2010)","DOI":"10.1109\/ICSEM.2010.14"},{"key":"3_CR29","doi-asserted-by":"crossref","unstructured":"Sreemol, S., Umesh, A.: A novel method for glaucoma detection using computer vision. In: 2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), pp.\u00a01\u20136. IEEE (2020)","DOI":"10.1109\/ICAECC50550.2020.9339478"},{"key":"3_CR30","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.bspc.2018.01.014","volume":"42","author":"N Thakur","year":"2018","unstructured":"Thakur, N., Juneja, M.: Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma. Biomed. Signal Process. Control 42, 162\u2013189 (2018)","journal-title":"Biomed. Signal Process. Control"},{"issue":"11","key":"3_CR31","doi-asserted-by":"publisher","first-page":"2081","DOI":"10.1016\/j.ophtha.2014.05.013","volume":"121","author":"YC Tham","year":"2014","unstructured":"Tham, Y.C., Li, X., Wong, T.Y., Quigley, H.A., Aung, T., Cheng, C.Y.: Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology 121(11), 2081\u20132090 (2014)","journal-title":"Ophthalmology"},{"key":"3_CR32","unstructured":"Vellend, M., Cornwell, W.K., Magnuson-Ford, K., Mooers, A.\u00d8.: Measuring phylogenetic biodiversity. Biological diversity: frontiers in measurement and assessment, pp. 194\u2013207. Oxford University Press, Oxford (2011)"},{"key":"3_CR33","doi-asserted-by":"publisher","unstructured":"Weinreb, R.N., Aung, T., Medeiros, F.A.: The pathophysiology and treatment of glaucoma. JAMA 311 (2014). https:\/\/doi.org\/10.1001\/jama.2014.3192","DOI":"10.1001\/jama.2014.3192"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition. ICPR 2024 International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87660-8_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T12:07:05Z","timestamp":1745928425000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87660-8_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031876592","9783031876608"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87660-8_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"30 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}