{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T14:21:10Z","timestamp":1774362070769,"version":"3.50.1"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030244088","type":"print"},{"value":"9783030244095","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,8,2]],"date-time":"2019-08-02T00:00:00Z","timestamp":1564704000000},"content-version":"tdm","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\/978-3-030-24409-5_14","type":"book-chapter","created":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T05:03:14Z","timestamp":1564635794000},"page":"149-157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image"],"prefix":"10.1007","author":[{"given":"Siyan","family":"Tao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,2]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Alansary, A., Kamnitsas, K., Davidson, A., Khlebnikov, R., Rajchl, M., Malamateniou, C., Rutherford, M., Hajnal, J.V., Glocker, B., Rueckert, D.: Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI (2016)","DOI":"10.1007\/978-3-319-46723-8_68"},{"issue":"9","key":"14_CR2","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1586\/14737140.8.9.1415","volume":"8","author":"GF Barbosa","year":"2008","unstructured":"Barbosa, G.F., Milas, M.: Peripheral thyrotropin receptor mRNA as a novel marker for differentiated thyroid cancer diagnosis and surveillance. Expert. Rev. Anticancer. Ther. 8(9), 1415\u20131424 (2008)","journal-title":"Expert. Rev. Anticancer. Ther."},{"key":"14_CR3","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1007\/978-3-319-46723-8_51","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"Jinzheng Cai","year":"2016","unstructured":"Cai, J., Lu, L., Zhang, Z., Xing, F., Yang, L., Yin, Q.: Pancreas segmentation in MRI using graph-based decision fusion on convolutional neural networks. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 442\u2013450 (2016)"},{"key":"14_CR4","first-page":"357","volume":"4","author":"LC Chen","year":"2015","unstructured":"Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Semantic image segmentation with deep convolutional nets and fully connected crfs. Comput. Sci. 4, 357\u2013361 (2015)","journal-title":"Comput. Sci."},{"issue":"4","key":"14_CR5","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","volume":"40","author":"LC Chen","year":"2018","unstructured":"Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), 834\u2013848 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"14_CR6","unstructured":"Chen, L.C., Papandreou, G., Schroff, F., Adam, H.: Rethinking atrous convolution for semantic image segmentation (2017)"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Garud, H., Karri, S.P.K., Sheet, D., Chatterjee, J., Mahadevappa, M., Ray, A.K., Ghosh, A., Maity, A.K.: High-magnification multi-views based classification of breast fine needle aspiration cytology cell samples using fusion of decisions from deep convolutional networks. In: CVPR Workshops, pp. 828\u2013833 (2017)","DOI":"10.1109\/CVPRW.2017.115"},{"issue":"1","key":"14_CR8","doi-asserted-by":"publisher","first-page":"97","DOI":"10.7314\/APJCP.2013.14.1.97","volume":"14","author":"B Gopinath","year":"2013","unstructured":"Gopinath, B., Shanthi, N.: Support vector machine based diagnostic system for thyroid cancer using statistical texture features. Asian Pac. J. Cancer Prev. 14(1), 97\u2013102 (2013)","journal-title":"Asian Pac. J. Cancer Prev."},{"issue":"5","key":"14_CR9","doi-asserted-by":"publisher","first-page":"653","DOI":"10.7785\/tcrt.2012.500430","volume":"14","author":"B Gopinath","year":"2015","unstructured":"Gopinath, B., Shanthi, N.: Development of an automated medical diagnosis system for classifying thyroid tumor cells using multiple classifier fusion. Technol. Cancer Res. Treat. 14(5), 653\u2013662 (2015)","journal-title":"Technol. Cancer Res. Treat."},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition, pp. 770\u2013778 (2015)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"4\u20135","key":"14_CR11","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1007\/s10552-018-1023-2","volume":"29","author":"BC James","year":"2018","unstructured":"James, B.C., Mitchell, J.M., Jeon, H.D., Vasilottos, N., Grogan, R.H., Aschebrook-Kilfoy, B.: An update in international trends in incidence rates of thyroid cancer, 1973\u20132007. Cancer Causes Control 29(4\u20135), 465\u2013473 (2018)","journal-title":"Cancer Causes Control"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Kim, E., Corte-Real, M., Baloch, Z.: A deep semantic mobile application for thyroid cytopathology. In: Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations. vol.\u00a09789, p. 97890A. International Society for Optics and Photonics (2016)","DOI":"10.1117\/12.2216468"},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.csbj.2018.01.001","volume":"16","author":"Daisuke Komura","year":"2018","unstructured":"Komura, D., Ishikawa, S.: Machine learning methods for histopathological image analysis. Comput. Struct. Biotechnol. J. 16, 34\u201342 (2018)","journal-title":"Computational and Structural Biotechnology Journal"},{"key":"14_CR14","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: International Conference on Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. Technical report (2014)","DOI":"10.1109\/CVPR.2015.7298965"},{"issue":"11","key":"14_CR16","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y L\u00e9cun","year":"1998","unstructured":"L\u00e9cun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"14_CR17","unstructured":"Preetha, M.M.S.J., Suresh, L.P., Bosco, M.J.: Image segmentation using seeded region growing. In: International Conference on Computing, Electronics and Electrical Technologies, pp. 576\u2013583 (2012)"},{"issue":"5","key":"14_CR18","first-page":"34","volume":"21","author":"E Reinhard","year":"2002","unstructured":"Reinhard, E., Ashikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. IEEE Comput. Graph. Appl. 21(5), 34\u201341 (2002)","journal-title":"IEEE Comput. Graph. Appl."},{"issue":"5","key":"14_CR19","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.jocs.2012.01.009","volume":"3","author":"S Samsi","year":"2012","unstructured":"Samsi, S., Krishnamurthy, A.K., Gurcan, M.N.: An efficient computational framework for the analysis of whole slide images: application to follicular lymphoma immunohistochemistry. J. Comput. Sci. 3(5), 269\u2013279 (2012)","journal-title":"J. Comput. Sci."},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.\u00a01\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"}],"container-title":["Studies in Computational Intelligence","Precision Health and Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-24409-5_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T05:24:26Z","timestamp":1564637066000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-24409-5_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,2]]},"ISBN":["9783030244088","9783030244095"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-24409-5_14","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"value":"1860-949X","type":"print"},{"value":"1860-9503","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,2]]},"assertion":[{"value":"2 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"W3PHAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Health Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Honolulu, HI","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"27 January 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 February 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wphai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/w3phiai2019.w3phi.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}