{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T04:36:40Z","timestamp":1764131800128,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031439865"},{"type":"electronic","value":"9783031439872"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43987-2_6","type":"book-chapter","created":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T23:07:48Z","timestamp":1696115268000},"page":"54-63","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis"],"prefix":"10.1007","author":[{"given":"Lanzhuju","family":"Mei","sequence":"first","affiliation":[]},{"given":"Yu","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Zhiming","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Ke","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Nizhuan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xuming","family":"He","sequence":"additional","affiliation":[]},{"given":"Yiqiang","family":"Zhan","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Maurizio","family":"Tonetti","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,1]]},"reference":[{"key":"6_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/978-3-030-59725-2_24","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","author":"MV Sainz de Cea","year":"2020","unstructured":"Sainz de Cea, M.V., Diedrich, K., Bakalo, R., Ness, L., Richmond, D.: Multi-task learning for detection and classification of cancer in screening mammography. In: Martel, A.L., et al. (eds.) MICCAI 2020. LNCS, vol. 12266, pp. 241\u2013250. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59725-2_24"},{"issue":"1","key":"6_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-019-56847-4","volume":"10","author":"HJ Chang","year":"2020","unstructured":"Chang, H.J., et al.: Deep learning hybrid method to automatically diagnose periodontal bone loss and stage periodontitis. Sci. Rep. 10(1), 1\u20138 (2020)","journal-title":"Sci. Rep."},{"key":"6_CR3","unstructured":"Dosovitskiy, A., et al.: An image is worth 16$$\\times $$16 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"issue":"10","key":"6_CR4","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1177\/0022034512457373","volume":"91","author":"PI Eke","year":"2012","unstructured":"Eke, P.I., Dye, B.A., Wei, L., Thornton-Evans, G.O., Genco, R.J.: Prevalence of periodontitis in adults in the united states: 2009 and 2010. J. Dent. Res. 91(10), 914\u2013920 (2012)","journal-title":"J. Dent. Res."},{"key":"6_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":"6_CR6","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Jiang, L., Chen, D., Cao, Z., Wu, F., Zhu, H., Zhu, F.: A two-stage deep learning architecture for radiographic assessment of periodontal bone loss (2021)","DOI":"10.21203\/rs.3.rs-885130\/v1"},{"issue":"1","key":"6_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-37186-2","volume":"9","author":"J Kim","year":"2019","unstructured":"Kim, J., Lee, H.S., Song, I.S., Jung, K.H.: DeNTNet: deep neural transfer network for the detection of periodontal bone loss using panoramic dental radiographs. Sci. Rep. 9(1), 1\u20139 (2019)","journal-title":"Sci. Rep."},{"issue":"1","key":"6_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-44839-3","volume":"9","author":"J Krois","year":"2019","unstructured":"Krois, J., et al.: Deep learning for the radiographic detection of periodontal bone loss. Sci. Rep. 9(1), 1\u20136 (2019)","journal-title":"Sci. Rep."},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.media.2016.06.037","volume":"33","author":"A Madabhushi","year":"2016","unstructured":"Madabhushi, A., Lee, G.: Image analysis and machine learning in digital pathology: challenges and opportunities. Med. Image Anal. 33, 170\u2013175 (2016)","journal-title":"Med. Image Anal."},{"key":"6_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2021.3134096","volume":"10","author":"AK Mondal","year":"2021","unstructured":"Mondal, A.K., Bhattacharjee, A., Singla, P., Prathosh, A.: xViTCOS: explainable vision transformer based COVID-19 screening using radiography. IEEE J. Trans. Eng. Health Med. 10, 1\u201310 (2021)","journal-title":"IEEE J. Trans. Eng. Health Med."},{"key":"6_CR12","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":"6_CR13","doi-asserted-by":"crossref","unstructured":"Srinivas, S.: A generalization of the noisy-or model. In: Uncertainty in Artificial Intelligence, pp. 208\u2013215. Elsevier (1993)","DOI":"10.1016\/B978-1-4832-1451-1.50030-5"},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"S159","DOI":"10.1002\/JPER.18-0006","volume":"89","author":"MS Tonetti","year":"2018","unstructured":"Tonetti, M.S., Greenwell, H., Kornman, K.S.: Staging and grading of periodontitis: framework and proposal of a new classification and case definition. J. Periodontol. 89, S159\u2013S172 (2018)","journal-title":"J. Periodontol."},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"106496","DOI":"10.1016\/j.compbiomed.2022.106496","volume":"153","author":"Y Zhao","year":"2022","unstructured":"Zhao, Y., Wang, X., Che, T., Bao, G., Li, S.: Multi-task deep learning for medical image computing and analysis: a review. Comput. Biol. Med. 153, 106496 (2022)","journal-title":"Comput. Biol. Med."},{"key":"6_CR16","unstructured":"Zhou, X., Wang, D., Kr\u00e4henb\u00fchl, P.: Objects as points. arXiv preprint arXiv:1904.07850 (2019)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43987-2_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T15:28:05Z","timestamp":1710170885000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43987-2_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031439865","9783031439872"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43987-2_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vancouver, BC","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2023\/en\/","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":"2250","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":"730","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":"32% - 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":"5","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)"}}]}}