Addressing data heterogeneity in distributed medical imaging with heterosync learning.
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| Title: | Addressing data heterogeneity in distributed medical imaging with heterosync learning. |
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| Authors: | Hu HT; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Li MD; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Lin XX; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Cai MY; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Liu S; School of Physics and Electronic Information, Guangxi Minzu University, Nanning, China., Wu SH; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Tong WJ; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Ye FY; School of Physics and Electronic Information, Guangxi Minzu University, Nanning, China., Hu JB; School of Physics and Electronic Information, Guangxi Minzu University, Nanning, China., Ke WP; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Chen LD; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Yang H; Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, Nanning, China., Liu GJ; Department of Medical Ultrasonics, the Sixth Affiliated Hospital of Sun Yat-sen University (Guangdong Gastrointestinal Hospital), Guangzhou, China., Wang HB; Research Center of Big Data and Artificial Intelligence for Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China., Lu MD; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.; Center of Hepato-Pancreato-Biliary Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China., Huang QH; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China. qhhuang@nwpu.edu.cn., Kuang M; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. kuangm@mail.sysu.edu.cn.; Center of Hepato-Pancreato-Biliary Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. kuangm@mail.sysu.edu.cn., Wang W; Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. wangw73@mail.sysu.edu.cn. |
| Corporate Authors: | Ultrasound Engineering Institute, Medical Industry Branch of China Association Plant Engineering (UE-MICAP) |
| Source: | Nature communications [Nat Commun] 2025 Oct 24; Vol. 16 (1), pp. 9416. Date of Electronic Publication: 2025 Oct 24. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-025-64459-y |
