{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:36:10Z","timestamp":1743006970552,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031720826"},{"type":"electronic","value":"9783031720833"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-72083-3_66","type":"book-chapter","created":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T18:01:42Z","timestamp":1728842502000},"page":"711-720","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantitative Assessment of\u00a0Thyroid Nodules Through Ultrasound Imaging Analysis"],"prefix":"10.1007","author":[{"given":"Young-Min","family":"Kim","sequence":"first","affiliation":[]},{"given":"Myeong-Gee","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Seok-Hwan","family":"Oh","sequence":"additional","affiliation":[]},{"given":"Guil","family":"Jung","sequence":"additional","affiliation":[]},{"given":"Hyeon-Jik","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Sang-Yun","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Hyuk-Sool","family":"Kwon","sequence":"additional","affiliation":[]},{"given":"Sang-Il","family":"Choi","sequence":"additional","affiliation":[]},{"given":"Hyeon-Min","family":"Bae","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,14]]},"reference":[{"issue":"3","key":"66_CR1","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1109\/5.662875","volume":"86","author":"MJ Ackerman","year":"1998","unstructured":"Ackerman, M.J.: The visible human project. Proceedings of the IEEE 86(3), 504\u2013511 (1998)","journal-title":"Proceedings of the IEEE"},{"key":"66_CR2","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et\u00a0al.: An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"issue":"4","key":"66_CR3","doi-asserted-by":"publisher","first-page":"1142","DOI":"10.1109\/TBME.2019.2931195","volume":"67","author":"M Feigin","year":"2019","unstructured":"Feigin, M., Freedman, D., Anthony, B.W.: A deep learning framework for single-sided sound speed inversion in medical ultrasound. IEEE Transactions on Biomedical Engineering 67(4), 1142\u20131151 (2019)","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"66_CR4","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":"66_CR5","unstructured":"IT\u2019IS\u00a0Foundation, Zurich, S.: Tissue properties database v4.0 (2018), https:\/\/itis.swiss\/virtual-population\/tissue-properties\/downloads\/database-v4-0\/"},{"key":"66_CR6","doi-asserted-by":"crossref","unstructured":"Kim, M.G., Oh, S., Kim, Y., Kwon, H., Bae, H.M.: Learning-based attenuation quantification in abdominal ultrasound. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part VII 24. pp. 14\u201323. Springer (2021)","DOI":"10.1007\/978-3-030-87234-2_2"},{"key":"66_CR7","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"66_CR8","doi-asserted-by":"crossref","unstructured":"Oh, S., Kim, M.G., Kim, Y., Bae, H.M.: A learned representation for multi-variable ultrasonic lesion quantification. In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). pp. 1177\u20131181. IEEE (2021)","DOI":"10.1109\/ISBI48211.2021.9433783"},{"key":"66_CR9","doi-asserted-by":"crossref","unstructured":"Oh, S., Kim, M.G., Kim, Y., Kwon, H., Bae, H.M.: A neural framework for multi-variable lesion quantification through b-mode style transfer. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part VI 24. pp. 222\u2013231. Springer (2021)","DOI":"10.1007\/978-3-030-87231-1_22"},{"key":"66_CR10","doi-asserted-by":"crossref","unstructured":"Park, T., Liu, M.Y., Wang, T.C., Zhu, J.Y.: Semantic image synthesis with spatially-adaptive normalization. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. pp. 2337\u20132346 (2019)","DOI":"10.1109\/CVPR.2019.00244"},{"key":"66_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2020.106309","volume":"111","author":"V Perrot","year":"2021","unstructured":"Perrot, V., Polichetti, M., Varray, F., Garcia, D.: So you think you can das? a viewpoint on delay-and-sum beamforming. Ultrasonics 111, 106309 (2021)","journal-title":"Ultrasonics"},{"key":"66_CR12","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. pp. 234\u2013241. Springer (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"2","key":"66_CR13","doi-asserted-by":"publisher","first-page":"021314","DOI":"10.1117\/1.3360308","volume":"15","author":"BE Treeby","year":"2010","unstructured":"Treeby, B.E., Cox, B.T.: k-wave: Matlab toolbox for the simulation and reconstruction of photoacoustic wave fields. Journal of biomedical optics 15(2), 021314\u2013021314 (2010)","journal-title":"Journal of biomedical optics"},{"key":"66_CR14","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems 30 (2017)"},{"issue":"10","key":"66_CR15","doi-asserted-by":"publisher","first-page":"3349","DOI":"10.1109\/TPAMI.2020.2983686","volume":"43","author":"J Wang","year":"2020","unstructured":"Wang, J., Sun, K., Cheng, T., Jiang, B., Deng, C., Zhao, Y., Liu, D., Mu, Y., Tan, M., Wang, X., et\u00a0al.: Deep high-resolution representation learning for visual recognition. IEEE transactions on pattern analysis and machine intelligence 43(10), 3349\u20133364 (2020)","journal-title":"IEEE transactions on pattern analysis and machine intelligence"},{"key":"66_CR16","doi-asserted-by":"crossref","unstructured":"Wang, W., Xie, E., Li, X., Fan, D.P., Song, K., Liang, D., Lu, T., Luo, P., Shao, L.: Pyramid vision transformer: A versatile backbone for dense prediction without convolutions. In: Proceedings of the IEEE\/CVF international conference on computer vision. pp. 568\u2013578 (2021)","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"66_CR17","first-page":"12077","volume":"34","author":"E Xie","year":"2021","unstructured":"Xie, E., Wang, W., Yu, Z., Anandkumar, A., Alvarez, J.M., Luo, P.: Segformer: Simple and efficient design for semantic segmentation with transformers. Advances in Neural Information Processing Systems 34, 12077\u201312090 (2021)","journal-title":"Advances in Neural Information Processing Systems"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72083-3_66","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T18:14:00Z","timestamp":1728843240000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72083-3_66"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031720826","9783031720833"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72083-3_66","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"14 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Y-M. Kim and S-H. Oh are under contracts with Ministry of Korea National Defense. Y-M. Kim, H-J. Lee and S-Y. Kim are under scholarship from the Korea Government Scholarship Program.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"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":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","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":"7 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 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":"miccai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2024\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}