{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T17:53:23Z","timestamp":1774979603885,"version":"3.50.1"},"reference-count":21,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition Letters"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.patrec.2026.03.004","type":"journal-article","created":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T16:06:55Z","timestamp":1773504415000},"page":"152-159","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["MedVK: Efficient medical image classification via decoupled vision Kolmogorov-Arnold Networks"],"prefix":"10.1016","volume":"203","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3303-397X","authenticated-orcid":false,"given":"Weichao","family":"Pan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5290-2479","authenticated-orcid":false,"given":"Xu","family":"Wang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.patrec.2026.03.004_bib0001","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.patrec.2023.12.018","article-title":"Token labeling-guided multi-scale medical image classification","volume":"178","author":"Yan","year":"2024","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patrec.2026.03.004_bib0002","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.patrec.2024.10.008","article-title":"Double branch convolutional transformer for medical image classification","volume":"186","author":"Li","year":"2024","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patrec.2026.03.004_bib0003","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patrec.2024.12.017","article-title":"EB-CNN: Ensemble of branch convolutional neural network for image classification","volume":"189","author":"Abdullah","year":"2025","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.patrec.2026.03.004_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2024.108285","article-title":"Accurate classification of glomerular diseases by hyperspectral imaging and transformer","volume":"254","author":"Tian","year":"2024","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.patrec.2026.03.004_bib0005","unstructured":"Y. Yue, Z. Li, MedMamba: Vision Mamba for medical image classification, Technical Report, arXiv: 2403.03849, 2024."},{"key":"10.1016\/j.patrec.2026.03.004_bib0006","series-title":"Vision-KAN: Exploring the possibility of KAN replacing MLP in Vision Transformer, GitHub repository","author":"Chen","year":"2024"},{"issue":"10","key":"10.1016\/j.patrec.2026.03.004_bib0007","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6501\/ae08d8","article-title":"MiT Loss: medical image-aware transfer-calibrated loss for enhanced classification","volume":"36","author":"Pan","year":"2025","journal-title":"Meas. Sci. Technol."},{"key":"10.1016\/j.patrec.2026.03.004_bib0008","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.patrec.2026.03.004_bib0009","series-title":"Proc. Eur. Conf. Comput. Vis. (ECCV)","first-page":"54","article-title":"MobileNetV4: universal models for the mobile ecosystem","author":"Qin","year":"2024"},{"key":"10.1016\/j.patrec.2026.03.004_bib0010","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"12021","article-title":"Run, don\u2019t walk: chasing higher FLOPS for faster neural networks","author":"Chen","year":"2023"},{"key":"10.1016\/j.patrec.2026.03.004_bib0011","unstructured":"W. Li, et al., SepViT: Separable vision transformer, Technical Report, arXiv: 2203.15380, 2023."},{"key":"10.1016\/j.patrec.2026.03.004_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.106791","article-title":"MedViT: a robust vision transformer for generalized medical image classification","volume":"157","author":"Manzari","year":"2023","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.patrec.2026.03.004_bib0013","series-title":"Proc. 2025 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit","first-page":"4484","article-title":"Do we really need Mamba for vision?","author":"Yu","year":"2025"},{"key":"10.1016\/j.patrec.2026.03.004_bib0014","series-title":"Proc. 13Th Int. Conf. Learn. Representations (ICLR), Singapore","article-title":"KAN: Kolmogorov-Arnold networks","author":"Liu","year":"2025"},{"key":"10.1016\/j.patrec.2026.03.004_bib0015","series-title":"Proc. 9th Int. Conf. Learn. Representations (ICLR), Virtual Event, Austria","article-title":"An image is worth 16\u202f\u00d7\u202fPLX16 words: transformers for image recognition at scale","author":"Dosovitskiy","year":"2021"},{"key":"10.1016\/j.patrec.2026.03.004_bib0016","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1038\/s41597-022-01721-8","article-title":"MedMNIST v2-A large-scale lightweight benchmark for 2D and 3D biomedical image classification","volume":"10","author":"Yang","year":"2023","journal-title":"Sci. Data"},{"key":"10.1016\/j.patrec.2026.03.004_bib0017","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s12553-021-00630-x","article-title":"CheXImageNet: a novel architecture for accurate classification of COVID-19 with chest x-ray digital images using deep convolutional neural networks","volume":"12","author":"Shastri","year":"2022","journal-title":"Health Technol."},{"key":"10.1016\/j.patrec.2026.03.004_bib0018","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"11966","article-title":"A ConvNet for the 2020s","author":"Liu","year":"2022"},{"key":"10.1016\/j.patrec.2026.03.004_bib0019","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"5694","article-title":"Rewrite the stars","author":"Ma","year":"2024"},{"key":"10.1016\/j.patrec.2026.03.004_bib0020","article-title":"Medical image classification with KAN-integrated transformers and dilated neighborhood attention","volume":"186","author":"Manzari","year":"2026","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.patrec.2026.03.004_bib0021","series-title":"Technical Report","article-title":"MedKAN: An advanced Kolmogorov-Arnold network for medical image classification","author":"Yang","year":"2025"}],"container-title":["Pattern Recognition Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526000851?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167865526000851?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T16:59:46Z","timestamp":1774976386000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167865526000851"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":21,"alternative-id":["S0167865526000851"],"URL":"https:\/\/doi.org\/10.1016\/j.patrec.2026.03.004","relation":{},"ISSN":["0167-8655"],"issn-type":[{"value":"0167-8655","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MedVK: Efficient medical image classification via decoupled vision Kolmogorov-Arnold Networks","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition Letters","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patrec.2026.03.004","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"}]}}