{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T08:57:56Z","timestamp":1790672276435,"version":"4.1.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"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":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-026-02347-7","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T19:15:25Z","timestamp":1790622925000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Feature-Level Fusion\u2013Based CNN\u2013Transformer\u2013KAN Hybrid Approach for Dental Implant Diameter and Length Detection"],"prefix":"10.1007","author":[{"given":"Furkan","family":"Talo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mucahit","family":"Karaduman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nurullah","family":"Duger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gulsah","family":"Karaduman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1866-4721","authenticated-orcid":false,"given":"Muhammed","family":"Yildirim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melek Atille","family":"Aydin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gulucag Giray","family":"Tekin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tuba Talo","family":"Yildirim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"issue":"1","key":"2347_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1097\/ID.0b013e3181676059","volume":"17","author":"CE Misch","year":"2008","unstructured":"Misch, C.E., et al., Implant success, survival, and failure: the International Congress of Oral Implantologists (ICOI) pisa consensus conference. Implant dentistry, 2008. 17(1): p. 5\u201315.","journal-title":"Implant dentistry"},{"key":"2347_CR2","doi-asserted-by":"crossref","unstructured":"Shah, M., et al., Osseodensification versus conventional site preparation in cylindrical implants: A randomized controlled trial. Journal of Periodontology, 2026.","DOI":"10.1002\/jper.70097"},{"key":"2347_CR3","doi-asserted-by":"crossref","unstructured":"Buser, D., L. Sennerby, and H. De Bruyn, Modern implant dentistry based on osseointegration: 50 years of progress, current trends and open questions. Periodontology 2000, 2017. 73(1): p. 7\u201321.","DOI":"10.1111\/prd.12185"},{"issue":"1","key":"2347_CR4","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1186\/s12903-025-06072-5","volume":"25","author":"G M\u00fcller-Mundt","year":"2025","unstructured":"M\u00fcller-Mundt, G., et al., Patients\u2019 trajectory from tooth loss to dental rehabilitation and living with implant-supported dentures\u2013a qualitative interview study. BMC Oral Health, 2025. 25(1): p. 705.","journal-title":"BMC Oral Health"},{"issue":"16","key":"2347_CR5","doi-asserted-by":"publisher","first-page":"2418849","DOI":"10.1002\/adfm.202418849","volume":"35","author":"X Lu","year":"2025","unstructured":"Lu, X., et al., Comprehensive overview of interface strategies in implant osseointegration. Advanced Functional Materials, 2025. 35(16): p. 2418849.","journal-title":"Advanced Functional Materials"},{"key":"2347_CR6","doi-asserted-by":"crossref","unstructured":"Chrcanovic, B.R., T. Albrektsson, and A. Wennerberg, Bone quality and quantity and dental implant failure: a systematic review and meta-analysis. International Journal of Prosthodontics, 2017. 30(3).","DOI":"10.11607\/ijp.5142"},{"issue":"1","key":"2347_CR7","doi-asserted-by":"publisher","first-page":"19","DOI":"10.24018\/ejdent.2025.6.1.362","volume":"6","author":"MM Abdulmunem","year":"2025","unstructured":"Abdulmunem, M.M. and M.N. Ali, The Guidelines for Patient Examination Before Dental Implant: Literature Review. European Journal of Dental and Oral Health, 2025. 6(1): p. 19\u201324.","journal-title":"European Journal of Dental and Oral Health"},{"key":"2347_CR8","doi-asserted-by":"crossref","unstructured":"Harris, D., et al., EAO guidelines for the use of diagnostic imaging in implant dentistry 2011. A consensus workshop organized by the European Association for Osseointegration at the Medical University of Warsaw. Clinical oral implants research, 2012. 23(11): p. 1243\u20131253.","DOI":"10.1111\/j.1600-0501.2012.02441.x"},{"issue":"1","key":"2347_CR9","doi-asserted-by":"publisher","first-page":"17789","DOI":"10.1038\/s41598-025-02705-5","volume":"15","author":"X Chen","year":"2025","unstructured":"Chen, X., et al., Anatomical changes in alveolar bone structure following the extraction of the mandibular second molar using CBCT measurements. Scientific Reports, 2025. 15(1): p. 17789.","journal-title":"Scientific Reports"},{"issue":"1","key":"2347_CR10","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.cmpb.2006.12.010","volume":"86","author":"CC Galanis","year":"2007","unstructured":"Galanis, C.C., et al., Computer methods for automating preoperative dental implant planning: Implant positioning and size assignment. Computer methods and programs in biomedicine, 2007. 86(1): p. 30\u201338.","journal-title":"Computer methods and programs in biomedicine"},{"issue":"6","key":"2347_CR11","doi-asserted-by":"publisher","first-page":"1521","DOI":"10.1016\/j.prosdent.2023.07.009","volume":"133","author":"H-J Kong","year":"2025","unstructured":"Kong, H.-J., et al., Performance evaluation of deep learning models for the classification and identification of dental implants. The Journal of Prosthetic Dentistry, 2025. 133(6): p. 1521\u20131527.","journal-title":"The Journal of Prosthetic Dentistry"},{"issue":"1","key":"2347_CR12","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1186\/s40729-020-00250-6","volume":"6","author":"T Takahashi","year":"2020","unstructured":"Takahashi, T., et al., Identification of dental implants using deep learning\u2014pilot study. International journal of implant dentistry, 2020. 6(1): p. 53.","journal-title":"International journal of implant dentistry"},{"key":"2347_CR13","doi-asserted-by":"crossref","unstructured":"K\u0131z\u0131lkaya, A.R., et al., Automatic Detection of Dental Implant Brands Using a Hybrid Vision Transformer-Based Deep Learning Model. Journal of Oral Implantology, 2026. 1(aop).","DOI":"10.1563\/aaid-joi-D-25-00141"},{"key":"2347_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Q., et al. ECA-Net: Efficient channel attention for deep convolutional neural networks. in Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2020.","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"2347_CR15","doi-asserted-by":"publisher","first-page":"48740","DOI":"10.52202\/079017-1545","volume":"37","author":"N Ho","year":"2024","unstructured":"Ho, N., et al., Block transformer: Global-to-local language modeling for fast inference. Advances in Neural Information Processing Systems, 2024. 37: p. 48740\u201348783.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"2347_CR16","unstructured":"Liu, Z., et al., Kan: Kolmogorov-arnold networks. arXiv preprint arXiv:2404.19756, 2024."},{"key":"2347_CR17","doi-asserted-by":"crossref","unstructured":"Woo, S., et al. Convnext v2: Co-designing and scaling convnets with masked autoencoders. in Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2023.","DOI":"10.1109\/CVPR52729.2023.01548"},{"key":"2347_CR18","unstructured":"Tan, M. and Q. Le. Efficientnet: Rethinking model scaling for convolutional neural networks. in International conference on machine learning. 2019. PMLR."},{"key":"2347_CR19","doi-asserted-by":"crossref","unstructured":"He, K., et al. Deep residual learning for image recognition. in Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.","DOI":"10.1109\/CVPR.2016.90"},{"key":"2347_CR20","doi-asserted-by":"crossref","unstructured":"Huang, G., et al. Densely connected convolutional networks. in Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.","DOI":"10.1109\/CVPR.2017.243"},{"key":"2347_CR21","unstructured":"Howard, A.G., et al., Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861, 2017."},{"key":"2347_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, X., et al. Shufflenet: An extremely efficient convolutional neural network for mobile devices. in Proceedings of the IEEE conference on computer vision and pattern recognition. 2018.","DOI":"10.1109\/CVPR.2018.00716"},{"issue":"1","key":"2347_CR23","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/s11263-024-02186-5","volume":"133","author":"F-A Croitoru","year":"2025","unstructured":"Croitoru, F.-A., et al., Learning rate curriculum. International Journal of Computer Vision, 2025. 133(1): p. 291\u2013314.","journal-title":"International Journal of Computer Vision"},{"issue":"5","key":"2347_CR24","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.3390\/jcm14051442","volume":"14","author":"PR Peitsinis","year":"2025","unstructured":"Peitsinis, P.R., et al., Optimizing implant placement timing and loading protocols for successful functional and esthetic outcomes: a narrative literature review. Journal of clinical medicine, 2025. 14(5): p. 1442.","journal-title":"Journal of clinical medicine"},{"issue":"4","key":"2347_CR25","doi-asserted-by":"publisher","first-page":"886","DOI":"10.1007\/s12663-025-02631-z","volume":"24","author":"G Srikanth","year":"2025","unstructured":"Srikanth, G., A. Singh, and A. Kudva, Treatment planning for single-tooth implant: a clinical guide and literature review. Journal of Maxillofacial and Oral Surgery, 2025. 24(4): p. 886\u2013898.","journal-title":"Journal of Maxillofacial and Oral Surgery"},{"issue":"5","key":"2347_CR26","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1007\/s12541-025-01229-2","volume":"26","author":"A Karadag","year":"2025","unstructured":"Karadag, A. and O. Ulkir, Prediction of dimensional accuracy and surface quality in additively manufactured biomedical implants using ANN. International Journal of Precision Engineering and Manufacturing, 2025. 26(5): p. 1187\u20131213.","journal-title":"International Journal of Precision Engineering and Manufacturing"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02347-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-026-02347-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02347-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T08:02:38Z","timestamp":1790668958000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-026-02347-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,28]]},"references-count":26,"alternative-id":["2347"],"URL":"https:\/\/doi.org\/10.1007\/s10278-026-02347-7","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,28]]},"assertion":[{"value":"21 July 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 September 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The data set used in this study was collected with the decision of the Non-Interventional Ethics Committee (XUGOEK) dated 27.11.2025 and numbered 2025\u201317-08.","order":1,"name":"Ethics","label":"Institutional Review Board.","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Informed consent was obtained from all subjects involved in the study.","order":2,"name":"Ethics","label":"Informed Consent.","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","label":"Conflict of Interest","group":{"name":"EthicsHeading","label":"Declarations"}}]}}