{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T13:58:34Z","timestamp":1776175114322,"version":"3.50.1"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC2407900"],"award-info":[{"award-number":["2022YFC2407900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Displays"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.displa.2026.103464","type":"journal-article","created":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T15:31:24Z","timestamp":1775057484000},"page":"103464","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["From slice to sequence: Cohesive and consistent few-shot medical image segmentation via SAM2"],"prefix":"10.1016","volume":"94","author":[{"given":"Ziyu","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinji","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiannan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaowei","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"7","key":"10.1016\/j.displa.2026.103464_b1","doi-asserted-by":"crossref","first-page":"1837","DOI":"10.1109\/TMI.2022.3150682","article-title":"Self-supervised learning for few-shot medical image segmentation","volume":"41","author":"Ouyang","year":"2022","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.displa.2026.103464_b2","article-title":"Few-shot medical image segmentation via generating multiple representative descriptors","author":"Cheng","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.displa.2026.103464_b3","article-title":"\u2018Squeeze & excite\u2019guided few-shot segmentation of volumetric images","volume":"59","author":"Roy","year":"2020","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.displa.2026.103464_b4","series-title":"2021 IEEE 18th International Symposium on Biomedical Imaging","first-page":"262","article-title":"A location-sensitive local prototype network for few-shot medical image segmentation","author":"Yu","year":"2021"},{"key":"10.1016\/j.displa.2026.103464_b5","doi-asserted-by":"crossref","unstructured":"V.I. Butoi*, J.J.G. Ortiz*, T. Ma, M.R. Sabuncu, J. Guttag, A.V. Dalca, Universeg: Universal medical image segmentation, in: International Conference on Computer Vision, 2023.","DOI":"10.1109\/ICCV51070.2023.01960"},{"key":"10.1016\/j.displa.2026.103464_b6","series-title":"Sam 2: Segment anything in images and videos","author":"Ravi","year":"2024"},{"key":"10.1016\/j.displa.2026.103464_b7","first-page":"12","article-title":"Miccai multi-atlas labeling beyond the cranial vault\u2013workshop and challenge","volume":"Vol. 5","author":"Landman","year":"2015"},{"key":"10.1016\/j.displa.2026.103464_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2020.101950","article-title":"Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation","volume":"69","author":"Kavur","year":"2021","journal-title":"Med. Image Anal."},{"issue":"12","key":"10.1016\/j.displa.2026.103464_b9","doi-asserted-by":"crossref","first-page":"2933","DOI":"10.1109\/TPAMI.2018.2869576","article-title":"Multivariate mixture model for myocardial segmentation combining multi-source images","volume":"41","author":"Zhuang","year":"2019","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.displa.2026.103464_b10","doi-asserted-by":"crossref","unstructured":"H. Tang, X. Liu, S. Sun, X. Yan, X. Xie, Recurrent mask refinement for few-shot medical image segmentation, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021, pp. 3918\u20133928.","DOI":"10.1109\/ICCV48922.2021.00389"},{"key":"10.1016\/j.displa.2026.103464_b11","series-title":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3072","article-title":"Rethinking few-shot medical segmentation: A vector quantization view","author":"Huang","year":"2023"},{"issue":"10","key":"10.1016\/j.displa.2026.103464_b12","doi-asserted-by":"crossref","first-page":"2575","DOI":"10.1109\/TMI.2021.3060551","article-title":"Interactive few-shot learning: Limited supervision, better medical image segmentation","volume":"40","author":"Feng","year":"2021","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.displa.2026.103464_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.105067","article-title":"Few-shot medical image segmentation using a global correlation network with discriminative embedding","volume":"140","author":"Sun","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.displa.2026.103464_b14","series-title":"European Conference on Computer Vision","first-page":"417","article-title":"Dual contrastive learning with anatomical auxiliary supervision for few-shot medical image segmentation","author":"Wu","year":"2022"},{"key":"10.1016\/j.displa.2026.103464_b15","doi-asserted-by":"crossref","unstructured":"K. Wang, J.H. Liew, Y. Zou, D. Zhou, J. Feng, Panet: Few-shot image semantic segmentation with prototype alignment, in: Proceedings of the IEEE International Conference on Computer Vision, 2019, pp. 9197\u20139206.","DOI":"10.1109\/ICCV.2019.00929"},{"key":"10.1016\/j.displa.2026.103464_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102385","article-title":"Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels","volume":"78","author":"Hansen","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.displa.2026.103464_b17","doi-asserted-by":"crossref","unstructured":"W. Huang, J. Hu, X. Bi, B. Xiao, Anatomical prior guided spatial contrastive learning for few-shot medical image segmentation, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 5211\u20135220.","DOI":"10.1145\/3664647.3680558"},{"key":"10.1016\/j.displa.2026.103464_b18","article-title":"Prototype-guided graph reasoning network for few-shot medical image segmentation","author":"Huang","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.displa.2026.103464_b19","series-title":"2023 IEEE International Conference on Bioinformatics and Biomedicine","first-page":"1150","article-title":"Location-aware transformer network for few-shot medical image segmentation","author":"Huang","year":"2023"},{"key":"10.1016\/j.displa.2026.103464_b20","article-title":"Dual interspersion and flexible deployment for few-shot medical image segmentation","author":"Cheng","year":"2025","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.displa.2026.103464_b21","doi-asserted-by":"crossref","unstructured":"A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A.C. Berg, W.-Y. Lo, et al., Segment anything, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 4015\u20134026.","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"10.1016\/j.displa.2026.103464_b22","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"368","article-title":"Sam-u: Multi-box prompts triggered uncertainty estimation for reliable sam in medical image","author":"Deng","year":"2023"},{"key":"10.1016\/j.displa.2026.103464_b23","series-title":"Unleashing the potential of sam2 for biomedical images and videos: A survey","author":"Zhang","year":"2024"},{"key":"10.1016\/j.displa.2026.103464_b24","series-title":"Sam on medical images: A comprehensive study on three prompt modes","author":"Cheng","year":"2023"},{"key":"10.1016\/j.displa.2026.103464_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102918","article-title":"Segment anything model for medical image analysis: an experimental study","volume":"89","author":"Mazurowski","year":"2023","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.displa.2026.103464_b26","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1038\/s41467-024-44824-z","article-title":"Segment anything in medical images","volume":"15","author":"Ma","year":"2024","journal-title":"Nat. Commun."},{"key":"10.1016\/j.displa.2026.103464_b27","doi-asserted-by":"crossref","unstructured":"Z. Cheng, Q. Wei, H. Zhu, Y. Wang, L. Qu, W. Shao, Y. Zhou, Unleashing the potential of sam for medical adaptation via hierarchical decoding, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 3511\u20133522.","DOI":"10.1109\/CVPR52733.2024.00337"},{"key":"10.1016\/j.displa.2026.103464_b28","series-title":"International Conference on Learning Representations","article-title":"LoRA : Low-rank adaptation of large language models","author":"Hu","year":"2022"},{"key":"10.1016\/j.displa.2026.103464_b29","series-title":"Segment anything in medical images and videos: Benchmark and deployment","author":"Ma","year":"2024"},{"key":"10.1016\/j.displa.2026.103464_b30","series-title":"Medical sam 2: Segment medical images as video via segment anything model 2","author":"Zhu","year":"2024"},{"issue":"365","key":"10.1016\/j.displa.2026.103464_b31","first-page":"1","article-title":"Advanced normalization tools (ants)","volume":"2","author":"Avants","year":"2009","journal-title":"Insight J."},{"key":"10.1016\/j.displa.2026.103464_b32","series-title":"Window attention is bugged: how not to interpolate position embeddings","author":"Bolya","year":"2023"},{"key":"10.1016\/j.displa.2026.103464_b33","doi-asserted-by":"crossref","unstructured":"K. He, X. Chen, S. Xie, Y. Li, P. Doll\u00e1r, R. Girshick, Masked autoencoders are scalable vision learners, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 16000\u201316009.","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"10.1016\/j.displa.2026.103464_b34","doi-asserted-by":"crossref","unstructured":"H. Ding, C. Sun, H. Tang, D. Cai, Y. Yan, Few-shot medical image segmentation with cycle-resemblance attention, in: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, 2023, pp. 2488\u20132497.","DOI":"10.1109\/WACV56688.2023.00252"},{"key":"10.1016\/j.displa.2026.103464_b35","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"271","article-title":"Few-shot medical image segmentation via a region-enhanced prototypical transformer","author":"Zhu","year":"2023"},{"key":"10.1016\/j.displa.2026.103464_b36","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"514","article-title":"Few-shot medical image segmentation regularized with self-reference and contrastive learning","author":"Wang","year":"2022"}],"container-title":["Displays"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0141938226001277?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0141938226001277?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T13:13:22Z","timestamp":1776172402000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0141938226001277"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":36,"alternative-id":["S0141938226001277"],"URL":"https:\/\/doi.org\/10.1016\/j.displa.2026.103464","relation":{},"ISSN":["0141-9382"],"issn-type":[{"value":"0141-9382","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"From slice to sequence: Cohesive and consistent few-shot medical image segmentation via SAM2","name":"articletitle","label":"Article Title"},{"value":"Displays","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.displa.2026.103464","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"103464"}}