{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:03:28Z","timestamp":1743116608938,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030539559"},{"type":"electronic","value":"9783030539566"}],"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\/978-3-030-53956-6_52","type":"book-chapter","created":{"date-parts":[[2020,7,12]],"date-time":"2020-07-12T11:02:42Z","timestamp":1594551762000},"page":"564-574","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Method for Localization and Classification of Breast Ultrasound Tumors"],"prefix":"10.1007","author":[{"given":"Wanying","family":"Mo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuntao","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoyun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,13]]},"reference":[{"issue":"1","key":"52_CR1","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3322\/caac.21332","volume":"66","author":"RL Siegel","year":"2016","unstructured":"Siegel, R.L., Miller, K.D., Jemal, A.: Cancer statistics, 2016. CA Cancer J. Clin. 66(1), 7\u201330 (2016)","journal-title":"CA Cancer J. Clin."},{"issue":"3","key":"52_CR2","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s11548-009-0295-0","volume":"4","author":"Y Ikedo","year":"2009","unstructured":"Ikedo, Y., Morita, T., Fukuoka, D., et al.: Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience. Comput. Assist. Radiol. Sur. 4(3), 299\u2013306 (2009). https:\/\/doi.org\/10.1007\/s11548-009-0295-0","journal-title":"Comput. Assist. Radiol. Sur."},{"issue":"4","key":"52_CR3","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1002\/uog.5205","volume":"32","author":"YL Huang","year":"2008","unstructured":"Huang, Y.L., Jiang, Y.R., Chen, D.R., et al.: Computer-aided diagnosis with morphological features for breast lesion on sonograms. Ultrasound Obstet. Gynecol. 32(4), 565\u2013572 (2008)","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"52_CR4","first-page":"1","volume":"2018","author":"X Ting","year":"2018","unstructured":"Ting, X., Lei, L., Kai, L., et al.: Comparison of transferred deep neural networks in ultrasonic breast masses discrimination. Biomed. Res. Int. 2018, 1\u20139 (2018)","journal-title":"Biomed. Res. Int."},{"key":"52_CR5","doi-asserted-by":"publisher","first-page":"1057819","DOI":"10.1117\/12.2293498","volume":"10578","author":"MH Yap","year":"2018","unstructured":"Yap, M.H., et al.: End-to-end breast ultrasound lesions recognition with a deep learning approach. Proc. SPIE 10578, 1057819 (2018). https:\/\/doi.org\/10.1117\/12.2293498","journal-title":"Proc. SPIE"},{"key":"52_CR6","doi-asserted-by":"crossref","unstructured":"Chiao, J.-Y., et al.: Detection and classification the breast tumors using mask R-CNN on sonograms. Medicine 98(19), pe15200 (2019)","DOI":"10.1097\/MD.0000000000015200"},{"key":"52_CR7","unstructured":"Redmon, J., Farhadi, A.: YOLOv3: an incremental improvement (2018)"},{"key":"52_CR8","unstructured":"Jain, A.K.: Data Clustering: 50 years beyond k-means (2008)"},{"key":"52_CR9","unstructured":"Arthur, D.: K-Means++: the advantages of careful seeding. In: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms. ACM (2007)"},{"key":"52_CR10","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Si, G., Chen, J., et al.: A novel method of transformer fault diagnosis based on K-Mediods and decision tree algorithm. In: IEEE 2017 1st International Conference on Electrical Materials and Power Equipment (ICEMPE), Xian, China 2017 1st International Conference on Electrical Materials and Power Equipment (ICEMPE), pp. 369\u2013373 (2017)","DOI":"10.1109\/ICEMPE.2017.7982105"},{"key":"52_CR11","doi-asserted-by":"crossref","unstructured":"Gao, H., Zhuang, L., Maaten, L.V.D., et al.: Densely connected convolutional networks. In: IEEE Conference on Computer Vision & Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"52_CR12","unstructured":"Zhao, Y., Zhu, H., Shen, Q., et al.: Practical adversarial attack against object detector. 24 (2018)"},{"key":"52_CR13","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2015)"}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-53956-6_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T08:42:05Z","timestamp":1609144925000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-53956-6_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030539559","9783030539566"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-53956-6_52","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":"13 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Swarm Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgrade","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Serbia","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":"14 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"swarm2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-si.org\/committees\/","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":"Confy","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"127","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":"63","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":"50% - 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":"2","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":"2.4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","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"}]}}