{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T00:52:20Z","timestamp":1763599940555,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030329556"},{"type":"electronic","value":"9783030329563"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-32956-3_12","type":"book-chapter","created":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T23:04:04Z","timestamp":1570662244000},"page":"95-103","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Robust Optic Disc Localization by Large Scale Learning"],"prefix":"10.1007","author":[{"given":"Shilu","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunhong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,8]]},"reference":[{"issue":"3","key":"12_CR1","doi-asserted-by":"publisher","first-page":"e2003","DOI":"10.7717\/peerj.2003","volume":"4","author":"M Abdullah","year":"2016","unstructured":"Abdullah, M., et al.: Localization and segmentation of optic disc in retinal images using circular Hough transform and grow-cut algorithm. PeerJ 4(3), e2003 (2016)","journal-title":"PeerJ"},{"key":"12_CR2","first-page":"91","volume":"40","author":"B Al-Bander","year":"2018","unstructured":"Al-Bander, B., et al.: Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc. BSPC 40, 91\u2013101 (2018)","journal-title":"BSPC"},{"issue":"7","key":"12_CR3","first-page":"1597","volume":"37","author":"H Fu","year":"2018","unstructured":"Fu, H., et al.: Joint optic disc and cup segmentation based on multi-label deep network and polar transformation. TMI 37(7), 1597\u20131605 (2018)","journal-title":"TMI"},{"issue":"5\u20136","key":"12_CR4","first-page":"386","volume":"37","author":"ME Gegundez-Arias","year":"2013","unstructured":"Gegundez-Arias, M.E., et al.: Locating the fovea center position in digital fundus images using thresholding and feature extraction techniques. CMIG 37(5\u20136), 386\u2013393 (2013)","journal-title":"CMIG"},{"issue":"5\u20136","key":"12_CR5","first-page":"369","volume":"37","author":"A Giachetti","year":"2013","unstructured":"Giachetti, A., et al.: The use of radial symmetry to localize retinal landmarks. CMIG 37(5\u20136), 369\u2013376 (2013)","journal-title":"CMIG"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Gu, Z., et al.: Automatic localization of optic disc using modified U-Net. In: ICCCV, pp. 79\u201383 (2018)","DOI":"10.1145\/3232651.3232671"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"He, K., et al.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"12_CR8","first-page":"382","volume":"87","author":"R Kamble","year":"2017","unstructured":"Kamble, R., et al.: Localization of optic disc and fovea in retinal images using intensity based line scanning analysis. CBM 87, 382\u2013396 (2017)","journal-title":"CBM"},{"issue":"12","key":"12_CR9","first-page":"2126","volume":"30","author":"S Lu","year":"2011","unstructured":"Lu, S., et al.: Accurate and efficient optic disc detection and segmentation by a circular transformation. TMI 30(12), 2126\u20132133 (2011)","journal-title":"TMI"},{"issue":"1","key":"12_CR10","first-page":"88","volume":"58","author":"S Lu","year":"2011","unstructured":"Lu, S., et al.: Automatic optic disc detection from retinal images by a line operator. TBME 58(1), 88\u201394 (2011)","journal-title":"TBME"},{"issue":"2","key":"12_CR11","first-page":"173","volume":"118","author":"D Marin","year":"2015","unstructured":"Marin, D., et al.: Obtaining optic disc center and pixel region by automatic thresholding methods on morphologically processed fundus images. CMPB 118(2), 173\u2013185 (2015)","journal-title":"CMPB"},{"key":"12_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-3-030-00934-2_5","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"MI Meyer","year":"2018","unstructured":"Meyer, M.I., Galdran, A., Mendon\u00e7a, A.M., Campilho, A.: A pixel-wise distance regression approach for joint retinal optical disc and fovea detection. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11071, pp. 39\u201347. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00934-2_5"},{"key":"12_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/978-3-319-46484-8_29","volume-title":"Computer Vision \u2013 ECCV 2016","author":"A Newell","year":"2016","unstructured":"Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 483\u2013499. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_29"},{"key":"12_CR14","unstructured":"Paszke, A., et al.: Automatic differentiation in PyTorch. In: NIPS-W (2017)"},{"key":"12_CR15","first-page":"274","volume":"45","author":"MN Reza","year":"2018","unstructured":"Reza, M.N., et al.: Automatic detection of optic disc in color fundus retinal images using circle operator. BSPC 45, 274\u2013283 (2018)","journal-title":"BSPC"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Sadhukhan, S., et al.: Optic disc localization in retinal fundus images using faster R-CNN. In: EAIT, pp. 1\u20134 (2018)","DOI":"10.1109\/EAIT.2018.8470435"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Yu, H., et al.: Fast localization of optic disc and fovea in retinal images for eye disease screening. In: CAD, vol. 7963, p. 796317 (2011)","DOI":"10.1117\/12.878145"},{"issue":"4","key":"12_CR18","first-page":"644","volume":"16","author":"H Yu","year":"2012","unstructured":"Yu, H., et al.: Fast localization and segmentation of optic disk in retinal images using directional matched filtering and level sets. ITB 16(4), 644\u2013657 (2012)","journal-title":"ITB"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Yu, T., et al.: Automatic localization and segmentation of optic disc in fundus image using morphology and level set. In: ISMICT, pp. 195\u2013199 (2015)","DOI":"10.1109\/ISMICT.2015.7107527"}],"container-title":["Lecture Notes in Computer Science","Ophthalmic Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32956-3_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:14:28Z","timestamp":1728519268000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32956-3_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030329556","9783030329563"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32956-3_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"8 October 2019","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":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"omia2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/mwomia2019\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"cmt","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}