{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:49:41Z","timestamp":1743151781929,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030333904"},{"type":"electronic","value":"9783030333911"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-33391-1_22","type":"book-chapter","created":{"date-parts":[[2019,10,13]],"date-time":"2019-10-13T01:52:23Z","timestamp":1570931543000},"page":"190-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation"],"prefix":"10.1007","author":[{"given":"Erica M.","family":"Rutter","sequence":"first","affiliation":[]},{"given":"John H.","family":"Lagergren","sequence":"additional","affiliation":[]},{"given":"Kevin B.","family":"Flores","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,13]]},"reference":[{"key":"22_CR1","unstructured":"Abdulla, W.: Mask R-CNN for object detection and instance segmentation on keras and tensorflow (2017). https:\/\/github.com\/matterport\/Mask_RCNN"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Caelles, S., Maninis, K.K., Pont-Tuset, J., Leal-Taix\u00e9, L., Cremers, D., Van Gool, L.: One-shot video object segmentation. In: CVPR 2017. IEEE (2017)","DOI":"10.1109\/CVPR.2017.565"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"issue":"11","key":"22_CR4","doi-asserted-by":"publisher","first-page":"1609","DOI":"10.1093\/bioinformatics\/btu080","volume":"30","author":"M Ma\u0161ka","year":"2014","unstructured":"Ma\u0161ka, M., et al.: A benchmark for comparison of cell tracking algorithms. Bioinformatics 30(11), 1609\u20131617 (2014)","journal-title":"Bioinformatics"},{"key":"22_CR5","unstructured":"Michaelis, C., Bethge, M., Ecker, A.: One-shot segmentation in clutter. In: International Conference on Machine Learning, pp. 3546\u20133555 (2018)"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Milan, A., et al.: Semantic segmentation from limited training data. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 1908\u20131915. IEEE (2018)","DOI":"10.1109\/ICRA.2018.8461082"},{"key":"22_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1007\/978-3-030-00937-3_45","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"A Reinke","year":"2018","unstructured":"Reinke, A.: How to exploit weaknesses in biomedical challenge design and organization. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11073, pp. 388\u2013395. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00937-3_45"},{"key":"22_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"22_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1007\/978-3-030-00937-3_78","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"EM Rutter","year":"2018","unstructured":"Rutter, E.M., Lagergren, J.H., Flores, K.B.: Automated object tracing for biomedical image segmentation using a deep convolutional neural network. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11073, pp. 686\u2013694. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00937-3_78"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Shaban, A., Bansal, S., Liu, Z., Essa, I., Boots, B.: One-shot learning for semantic segmentation. arXiv preprint arXiv:1709.03410 (2017)","DOI":"10.5244\/C.31.167"},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1038\/nmeth.4473","volume":"14","author":"V Ulman","year":"2017","unstructured":"Ulman, V., et al.: An objective comparison of cell-tracking algorithms. Nat. Methods 14, 1141 (2017). https:\/\/doi.org\/10.1038\/nmeth.4473","journal-title":"Nat. Methods"}],"container-title":["Lecture Notes in Computer Science","Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33391-1_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T00:04:23Z","timestamp":1728777863000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33391-1_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030333904","9783030333911"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33391-1_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"13 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIL3ID","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Medical Image Learning with Less Labels and Imperfect Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mil3id2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}