{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:48:29Z","timestamp":1742986109524,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319675602"},{"type":"electronic","value":"9783319675619"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-67561-9_24","type":"book-chapter","created":{"date-parts":[[2017,9,11]],"date-time":"2017-09-11T16:14:04Z","timestamp":1505146444000},"page":"210-218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Boosted Exudate Segmentation in Retinal Images Using Residual Nets"],"prefix":"10.1007","author":[{"given":"Samaneh","family":"Abbasi-Sureshjani","sequence":"first","affiliation":[]},{"given":"Behdad","family":"Dashtbozorg","sequence":"additional","affiliation":[]},{"given":"Bart M.","family":"ter Haar Romeny","sequence":"additional","affiliation":[]},{"given":"Fran\u00e7ois","family":"Fleuret","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,9]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Alghamdi, H.S., Tang, H.L., Waheeb, S.A., Peto, T.: Automatic optic disc abnormality detection in fundus images: a deep learning approach. In: Proceedings of the Ophthalmic Medical Image Analysis Third International Workshop, Held in Conjunction with MICCAI, pp. 17\u201324 (2016)","DOI":"10.17077\/omia.1042"},{"key":"24_CR2","unstructured":"Can\u00e9vet, O., Jose, C., Fleuret, F.: Importance sampling tree for large-scale empirical expectation. In: International Conference on Machine Learning, pp. 1454\u20131462 (2016)"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Harangi, B., Lazar, I., Hajdu, A.: Automatic exudate detection using active contour model and regionwise classification. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5951\u20135954 (2012)","DOI":"10.1109\/EMBC.2012.6347349"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"24_CR6","unstructured":"The International Council of Ophthalmology (ICO): ICO Guidelines for Diabetic Eye Care, January 2017"},{"key":"24_CR7","unstructured":"K\u00e4lvi\u00e4inen, R., Uusitalo, H.: DIARETDB1 diabetic retinopathy database and evaluation protocol. In: Medical Image Understanding and Analysis, p. 61 (2007)"},{"issue":"2","key":"24_CR8","first-page":"372","volume":"27","author":"Y Nesterov","year":"1983","unstructured":"Nesterov, Y.: A method for unconstrained convex minimization problem with the rate of convergence O(1\/k2). Sov. Math. Dokl. 27(2), 372\u2013376 (1983)","journal-title":"Sov. Math. Dokl."},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Perdomo, O., Otalora, S., Rodr\u00edguez, F., Arevalo, J., Gonz\u00e1lez, F.A.: A novel machine learning model based on exudate localization to detect diabetic macular edema. In: Proceedings of the Ophthalmic Medical Image Analysis Third International Workshop, Held in Conjunction with MICCAI, pp. 137\u2013144 (2016)","DOI":"10.17077\/omia.1057"},{"issue":"6","key":"24_CR10","doi-asserted-by":"publisher","first-page":"e96814","DOI":"10.1371\/journal.pone.0096814","volume":"9","author":"R Pires","year":"2014","unstructured":"Pires, R., Jelinek, H.F., Wainer, J., Valle, E., Rocha, A.: Advancing bag-of-visual-words representations for lesion classification in retinal images. PloS One 9(6), e96814 (2014)","journal-title":"PloS One"},{"key":"24_CR11","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1016\/j.cmpb.2016.09.018","volume":"137","author":"P Prenta\u0161i\u0107","year":"2016","unstructured":"Prenta\u0161i\u0107, P., Lon\u010dari\u0107, S.: Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion. Comput. Methods Programs Biomed. 137, 281\u2013292 (2016)","journal-title":"Comput. Methods Programs Biomed."},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Prenta\u0161i\u0107, P., Lon\u010dari\u0107, S., Vatavuk, Z., Bencic, G., Subasic, M., Petkovic, T., Dujmovic, L., Malenica-Ravlic, M., Budimlija, N., Tadic, R.: Diabetic retinopathy image database (DRiDB): a new database for diabetic retinopathy screening programs research. In: 8th International Symposium on Image and Signal Processing and Analysis, pp. 711\u2013716. IEEE (2013)","DOI":"10.1109\/ISPA.2013.6703830"},{"issue":"2","key":"24_CR13","doi-asserted-by":"publisher","first-page":"160","DOI":"10.4103\/2008-322X.163771","volume":"10","author":"R Raman","year":"2015","unstructured":"Raman, R., Nittala, M.G., Gella, L., Pal, S.S., Sharma, T.: Retinal sensitivity over hard exudates in diabetic retinopathy. J. Ophthalmic Vis. Res. 10(2), 160 (2015)","journal-title":"J. Ophthalmic Vis. Res."},{"issue":"7","key":"24_CR14","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1016\/j.media.2014.05.004","volume":"18","author":"X Zhang","year":"2014","unstructured":"Zhang, X., Thibault, G., Decenci\u00e8re, E., Marcotegui, B., La\u00ff, B., Danno, R., Cazuguel, G., Quellec, G., Lamard, M., Massin, P., et al.: Exudate detection in color retinal images for mass screening of diabetic retinopathy. Med. Image Anal. 18(7), 1026\u20131043 (2014)","journal-title":"Med. Image Anal."}],"container-title":["Lecture Notes in Computer Science","Fetal, Infant and Ophthalmic Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67561-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T16:31:10Z","timestamp":1709829070000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-67561-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319675602","9783319675619"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67561-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"9 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"OMIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Ophthalmic Medical Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qu\u00e9bec City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"omia2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/site\/mwomia4\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}