{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T23:22:45Z","timestamp":1761952965903,"version":"build-2065373602"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819533978","type":"print"},{"value":"9789819533985","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-3398-5_28","type":"book-chapter","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T23:19:28Z","timestamp":1761952768000},"page":"341-351","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SC-DSE-nnUNet: An Efficient Hippocampus MRI Segmentation Method"],"prefix":"10.1007","author":[{"given":"Bowen","family":"Xiao","sequence":"first","affiliation":[]},{"given":"Yu","family":"Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,1]]},"reference":[{"issue":"12","key":"28_CR1","doi-asserted-by":"publisher","first-page":"3376","DOI":"10.1111\/ejn.16361","volume":"59","author":"R Morais-Ribeiro","year":"2024","unstructured":"Morais-Ribeiro, R., Almeida, F.C., Coelho, A., et al.: Differential atrophy along the longitudinal hippocampal axis in Alzheimer\u2019s disease. Eur. J. Neurosci. 59(12), 3376\u20133388 (2024)","journal-title":"Eur. J. Neurosci."},{"key":"28_CR2","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\u2014MICCAI 2015: 18th International Conference, Munich, Germany, October 5\u20139, 2015, Proceedings, Part III, pp. 234\u2013241. Springer, Heidelberg (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"28_CR3","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2021.639930","volume":"12","author":"R Su","year":"2021","unstructured":"Su, R., Zhang, D.Y., Liu, J.H., et al.: MSU-net: multi-scale U-net for 2D medical image segmentation. Front. Genet. 12, 639930 (2021)","journal-title":"Front. Genet."},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Li, Y. H., Chen, Y. T., Wang, N. Y., et al.: Scale-aware trident networks for object detection. In: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 6053\u20136062. IEEE (2019)","DOI":"10.1109\/ICCV.2019.00615"},{"key":"28_CR5","doi-asserted-by":"publisher","DOI":"10.1002\/alz.076575","volume":"19","author":"R Joules","year":"2023","unstructured":"Joules, R., Wolz, R.: Fully automatic deep-learning based segmentation of hippocampal subfields from standard resolution T1W MRI in Alzheimer\u2019s Disease. Alzheimer\u2019s Dementia 19, e076575 (2023)","journal-title":"Alzheimer\u2019s Dementia"},{"key":"28_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2024.120767","volume":"298","author":"M Sackl","year":"2024","unstructured":"Sackl, M., Tinauer, C., Urschler, M., et al.: Fully automated hippocampus segmentation using T2-informed deep convolutional neural networks. Neuroimage 298, 120767 (2024)","journal-title":"Neuroimage"},{"issue":"2","key":"28_CR7","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2021","unstructured":"Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: NnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203\u2013211 (2021)","journal-title":"Nat. Methods"},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Liu, J.J., Hou, Q., Cheng, M.M., et al.: Improving convolutional networks with self-calibrated convolutions. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10096\u201310105. IEEE (2020)","DOI":"10.1109\/CVPR42600.2020.01011"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440. IEEE (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"Milletari, F., Navab, N., Ahmadi, S.-A.: V-net: fully convolutional neural networks for volumetric medical image segmentation. In: Proceedings of the 4th International Conference on 3D Vision, pp. 565\u2013571. IEEE, Piscataway (2016)","DOI":"10.1109\/3DV.2016.79"},{"key":"28_CR12","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.57613","volume":"9","author":"A Wolny","year":"2020","unstructured":"Wolny, A., Cerrone, L., Vijayan, A., et al.: Accurate and versatile 3D segmentation of plant tissues at cellular resolution. Elife 9, e57613 (2020)","journal-title":"Elife"},{"issue":"3","key":"28_CR13","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich, P.A., et al.: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage 31(3), 1116\u20131128 (2006)","journal-title":"Neuroimage"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3398-5_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T23:19:29Z","timestamp":1761952769000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3398-5_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,1]]},"ISBN":["9789819533978","9789819533985"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3398-5_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,1]]},"assertion":[{"value":"1 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xuzhou","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icig.csig.org.cn\/2025\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}