{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:12:21Z","timestamp":1747195941322,"version":"3.40.5"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819628810"},{"type":"electronic","value":"9789819628827"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-2882-7_20","type":"book-chapter","created":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T06:59:40Z","timestamp":1741417180000},"page":"197-207","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Focal Consistency Network for\u00a0Developmental Stage Classification of\u00a0Embryos with\u00a0Time-Lapse Embryo Video Datasets"],"prefix":"10.1007","author":[{"given":"Yiming","family":"Li","sequence":"first","affiliation":[]},{"given":"Hua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jingfei","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Jicong","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,9]]},"reference":[{"issue":"11","key":"20_CR1","doi-asserted-by":"publisher","first-page":"2683","DOI":"10.1093\/humrep\/dep343","volume":"24","author":"F Zegers-Hochschild","year":"2009","unstructured":"Zegers-Hochschild, F., et al.: The international committee for monitoring assisted reproductive technology (icmart) and the world health organization (who) revised glossary on art terminology, 2009. Hum. Reprod. 24(11), 2683\u20132687 (2009)","journal-title":"Hum. Reprod."},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"M\u00e9lodie, V.B., Christine, W.: Fertility and infertility: definition and epidemiology. Clin. Biochem. 2\u201310 (2018)","DOI":"10.1016\/j.clinbiochem.2018.03.012"},{"key":"20_CR3","unstructured":"Zhao, J., et al.: Effects of abnormal zona pellucida on fertilization and pregnancy in ivf\/icsi-et. J. Reprod. Contracept. (2015)"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Khan, A., Gould, S., Salzmann, M.: Deep convolutional neural networks for human embryonic cell counting. In: European Conference on Computer Vision (2016)","DOI":"10.1007\/978-3-319-46604-0_25"},{"key":"20_CR5","unstructured":"Rad, R.M., Saeedi, P., Au, J., Havelock, J.: Cell-net: embryonic cell counting and centroid localization via residual incremental atrous pyramid and progressive upsampling convolution. IEEE Access (2019)"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Gomez, T., et al.: Towards deep learning-powered IVF: a large public benchmark for morphokinetic parameter prediction (2022)","DOI":"10.1016\/j.dib.2022.108258"},{"key":"20_CR7","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. Comput. Sci. (2014)"},{"key":"20_CR8","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der\u00a0Maaten, 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":"20_CR10","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":"20_CR11","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: Mobilenetv2: inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4510\u20134520 (2018)","DOI":"10.1109\/CVPR.2018.00474"}],"container-title":["Lecture Notes in Computer Science","Advances in Brain Inspired Cognitive Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-2882-7_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T05:37:58Z","timestamp":1747114678000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-2882-7_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819628810","9789819628827"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-2882-7_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"9 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Inspired Cognitive Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hefei","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bics2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bics2024.dobell.me\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}