[HTML][HTML] UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution

L Jiang, LY Ma, TY Zeng, SH Ying - Patterns, 2024 - cell.com
Partially supervised segmentation is a label-saving method based on datasets with
fractional classes labeled and intersectant. Its practical application in real-world medical …

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution

L Jiang, LY Ma, TY Zeng… - Patterns (New York, NY …, 2024 - pubmed.ncbi.nlm.nih.gov
Partially supervised segmentation is a label-saving method based on datasets with
fractional classes labeled and intersectant. Its practical application in real-world medical …

[HTML][HTML] UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution

L Jiang, LY Ma, TY Zeng, SH Ying - Patterns, 2024 - ncbi.nlm.nih.gov
Partially supervised segmentation is a label-saving method based on datasets with
fractional classes labeled and intersectant. Its practical application in real-world medical …

[HTML][HTML] UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution

L Jiang, LY Ma, TY Zeng, SH Ying - Patterns, 2024 - Elsevier
Partially supervised segmentation is a label-saving method based on datasets with
fractional classes labeled and intersectant. Its practical application in real-world medical …

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution

L Jiang, L Ma, T Zeng, S Ying - Patterns (New York, NY), 2024 - europepmc.org
Partially supervised segmentation is a label-saving method based on datasets with
fractional classes labeled and intersectant. Its practical application in real-world medical …

UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution.

L Jiang, LY Ma, TY Zeng, SH Ying - Patterns (New York, NY), 2024 - europepmc.org
Partially supervised segmentation is a label-saving method based on datasets with
fractional classes labeled and intersectant. Its practical application in real-world medical …