Citation notice #8674 · 2026-08-06 12:17:45.527177+00:00

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

cites Federated learning enables big data for rare cancer boundary detection, which carries a correction notice dated 2023-01-26. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

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01Evidence

Raw extraction · citation context · bibliography index 7

Yi L, Zhang J, Zhang R, Shi J, Wang G, Liu X: SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation. In: Lecture Notes in Computer Science. edn.: Springer International Publishing; 2020: 761-773. 5. Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C et al. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022, 13(1):7346. doi: 10.1038/s41467-022-33407-5 6. Xia Y, Yang D, Li W, Myronenko A, Xu D, Obinata H, Mori H, An P, Harmon S, Turkbey E. Auto-FedAvg: learnable federated averaging for multi-institutional medical image segmentation. arXiv preprint arXiv:210410195 2021. doi: 10.48550/arXiv.2104.10195 7. Yang D, Xu ZY, Li WQ, Myronenko A, Roth HR, Harmon S, Xu S, Turkbey B, Turkbey E, Wang XS et al.

Parser render (TeX stripped for reading; raw above is the evidence)

Yi L, Zhang J, Zhang R, Shi J, Wang G, Liu X: SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation. In: Lecture Notes in Computer Science. edn.: Springer International Publishing; 2020: 761-773. 5. Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C et al. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022, 13(1):7346. doi: 10.1038/s41467-022-33407-5 6. Xia Y, Yang D, Li W, Myronenko A, Xu D, Obinata H, Mori H, An P, Harmon S, Turkbey E. Auto-FedAvg: learnable federated averaging for multi-institutional medical image segmentation. arXiv preprint arXiv:210410195 2021. doi: 10.48550/arXiv.2104.10195 7. Yang D, Xu ZY, Li WQ, Myronenko A, Roth HR, Harmon S, Xu S, Turkbey B, Turkbey E, Wang XS et al

02Event

Type

Correction

Source

Crossref

Original DOI

10.1038/s41467-022-33407-5

Notice DOI

10.1038/s41467-023-36188-7

Date

2023-01-26

Title

Author Correction: Federated learning enables big data for rare cancer boundary detection

Reasons

['Correction']

Work

Federated learning enables big data for rare cancer boundary detection (2022) Nature Communications

Schema constants (for re-runners): correction · crossref

03Dispute this notice

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