A comprehensive review of U-Net architectures for medical image segmentation: emerging trends and federated learning perspectives.
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| Title: | A comprehensive review of U-Net architectures for medical image segmentation: emerging trends and federated learning perspectives. |
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| Authors: | Hossen, Md. Fahim1, 2110055@student.ruet.ac.bd, Sarkar, Anirban1, 2110060@student.ruet.ac.bd, Majumder, Turja1, 2110017@student.ruet.ac.bd, Nabi, Md. Fahmidun1, 2110025@student.ruet.ac.bd, Ahamed, Md. Faysal1, faysal.ahamed@ece.ruet.ac.bd, Shafi, Fariya Bintay1, 1710027@student.ruet.ac.bd, Sarmun, Rusab2, rusab-2016315002@eee.du.ac.bd, Chowdhury, Muhammad E. H.2, mchowdhury@qu.edu.qa |
| Source: | Neural Computing & Applications; Jun2026, Vol. 38 Issue 12, p1-53, 53p |
| Database: | Applied Science & Technology Source |
| ISSN: | 09410643 |
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| DOI: | 10.1007/s00521-026-12198-6 |
