{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:35:49Z","timestamp":1778085349839,"version":"3.51.4"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3392916","type":"journal-article","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T17:31:29Z","timestamp":1713979889000},"page":"58960-58971","source":"Crossref","is-referenced-by-count":9,"title":["Federated Versus Central Machine Learning on Diabetic Foot Ulcer Images: Comparative Simulations"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6503-820X","authenticated-orcid":false,"given":"Mahdi","family":"Saeedi","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, University of North Dakota, Grand Forks, ND, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamed Taheri","family":"Gorji","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of North Dakota, Grand Forks, ND, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fartash","family":"Vasefi","sequence":"additional","affiliation":[{"name":"SafetySpect Inc., Grand Forks, ND, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kouhyar","family":"Tavakolian","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of North Dakota, Grand Forks, ND, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104596","article-title":"Deep learning in diabetic foot ulcers detection: A comprehensive evaluation","volume":"135","author":"Yap","year":"2021","journal-title":"Comput. Biol. Med."},{"key":"ref2","first-page":"1055","article-title":"UNet 3+: A full-scale connected Unet for medical image","volume-title":"Proc. ICASSP","author":"Huang"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"2","key":"ref4","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","article-title":"NnU-net: A self-configuring method for deep learning-based biomedical image segmentation","volume":"18","author":"Isensee","year":"2021","journal-title":"Nature Methods"},{"key":"ref5","volume-title":"MEDETEC Medical Images: Foot Wounds and Ulcers","author":"Thomas","year":"2014"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/info11020125"},{"key":"ref7","first-page":"1","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref8","article-title":"Flower: A friendly federated learning research framework","author":"Beutel","year":"2020","journal-title":"arXiv:2007.14390"},{"issue":"2","key":"ref9","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1038\/s41591-020-01174-9","article-title":"Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach","volume":"27","author":"Lotter","year":"2021","journal-title":"Nature Med."},{"issue":"1","key":"ref10","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/TBME.2021.3087612","article-title":"C2MA-net: Cross-modal cross-attention network for acute ischemic stroke lesion segmentation based on CT perfusion scans","volume":"69","author":"Shi","year":"2022","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref11","article-title":"Federated optimization in heterogeneous networks","author":"Li","year":"2018","journal-title":"arXiv:1812.06127"},{"issue":"10","key":"ref12","doi-asserted-by":"crossref","first-page":"2287","DOI":"10.3390\/electronics12102287","article-title":"Reviewing federated learning aggregation algorithms; strategies, contributions, limitations and future perspectives","volume":"12","author":"Moshawrab","year":"2023","journal-title":"Electronics"},{"key":"ref13","article-title":"Robust aggregation for federated learning","author":"Pillutla","year":"2019","journal-title":"arXiv:1912.13445"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_11"},{"key":"ref15","article-title":"Image segmentation using transfer learning and fast R-CNN for diabetic foot wound treatments","volume":"10","author":"Huang","year":"2022","journal-title":"Frontiers Public Health"},{"key":"ref16","article-title":"Medical image segmentation review: The success of U-Net","author":"Azad","year":"2022","journal-title":"arXiv:2211.14830"},{"issue":"9","key":"ref17","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.3390\/diagnostics13091532","article-title":"Federated learning for medical image analysis with deep neural networks","volume":"13","author":"Nazir","year":"2023","journal-title":"Diagnostics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13193140"},{"issue":"1","key":"ref19","doi-asserted-by":"crossref","DOI":"10.1038\/s41523-021-00358-x","article-title":"Connected-UNets: A deep learning architecture for breast mass segmentation","volume":"7","author":"Baccouche","year":"2021","journal-title":"NPJ Breast Cancer"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s13534-018-0058-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925x-13-94"},{"issue":"20","key":"ref22","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.ifacol.2015.10.185","article-title":"Machine learning for predictive modelling based on small data in biomedical engineering","volume":"48","author":"Shaikhina","year":"2015","journal-title":"IFAC-PapersOnLine"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"198977","DOI":"10.1109\/ACCESS.2020.3035327","article-title":"Machine learning in the prevention, diagnosis and management of diabetic foot ulcers: A systematic review","volume":"8","author":"Tulloch","year":"2020","journal-title":"IEEE Access"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-022-02617-w"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/17085381211040984"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"107843","DOI":"10.1016\/j.diabres.2019.107843","article-title":"Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition","volume":"157","author":"Saeedi","year":"2019","journal-title":"Diabetes Res. Clin. Pract."},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.2196\/41588","article-title":"Federated machine learning, privacy-enhancing technologies, and data protection laws in medical research: Scoping review","volume":"25","author":"Brauneck","year":"2023","journal-title":"J. Med. Internet Res."},{"issue":"5","key":"ref28","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pdig.0000033","article-title":"A systematic review of federated learning applications for biomedical data","volume":"1","author":"Crowson","year":"2022","journal-title":"PLOS Digit. Health"},{"issue":"1","key":"ref29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41746-020-00323-1","article-title":"The future of digital health with federated learning","volume":"3","author":"Rieke","year":"2020","journal-title":"NPJ Digital Medicine"},{"issue":"1","key":"ref30","article-title":"Microstructural segmentation using a union of attention guided U-Net models with different color transformed images","volume-title":"Sci. Rep.","volume":"13","author":"Biswas","year":"2023"},{"key":"ref31","first-page":"12","article-title":"Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease","author":"Shoaib","year":"2022","journal-title":"Frontiers Plant Sci."},{"issue":"25","key":"ref32","doi-asserted-by":"crossref","first-page":"36171","DOI":"10.1007\/s11042-021-11568-7","article-title":"AM-UNet: Automated mini 3D end-to-end U-net based network for brain claustrum segmentation","volume":"81","author":"Albishri","year":"2022","journal-title":"Multimedia Tools Appl."},{"issue":"3","key":"ref33","doi-asserted-by":"crossref","first-page":"1094","DOI":"10.1016\/j.bbe.2020.05.006","article-title":"Modified U-Net architecture for semantic segmentation of diabetic retinopathy images","volume":"40","author":"Sambyal","year":"2020","journal-title":"Biocybernetics Biomed. Eng."},{"issue":"4","key":"ref34","doi-asserted-by":"crossref","first-page":"995","DOI":"10.3390\/rs14040995","article-title":"Semantic segmentation (U-Net) of archaeological features in airborne laser scanning\u2013Example of the Bia\u0142owie\u017ca forest","volume":"14","author":"Banasiak","year":"2022","journal-title":"Remote Sens."},{"key":"ref35","volume-title":"Federated-experiments","author":"Mahdi","year":"2024"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10507818.pdf?arnumber=10507818","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T19:15:28Z","timestamp":1714763728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10507818\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3392916","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}