UAC-Net: a unified multi-task network with aggregated contextual attention and cross-layer fusion for brain tumor segmentation and classification.

Cai C, Zhang J, Zhang D, Chen W, Tan X, Du G, Jiang H

DOI: 10.3389/fnins.2026.1986322
Published: 2026
Container: Frontiers in neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2026.1986322,
  title = {UAC-Net: a unified multi-task network with aggregated contextual attention and cross-layer fusion for brain tumor segmentation and classification.},
  author = {Cai C and Zhang J and Zhang D and Chen W and Tan X and Du G and Jiang H},
  year = {2026},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2026.1986322},
  url = {https://doi.org/10.3389/fnins.2026.1986322}
}

RIS

TY  - JOUR
TI  - UAC-Net: a unified multi-task network with aggregated contextual attention and cross-layer fusion for brain tumor segmentation and classification.
AU  - Cai C
AU  - Zhang J
AU  - Zhang D
AU  - Chen W
AU  - Tan X
AU  - Du G
AU  - Jiang H
PY  - 2026
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2026.1986322
UR  - https://doi.org/10.3389/fnins.2026.1986322
ER  -

APA

C, C., J, Z., D, Z., W, C., X, T., G, D., & H, J. (2026). UAC-Net: a unified multi-task network with aggregated contextual attention and cross-layer fusion for brain tumor segmentation and classification.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2026.1986322

Source records

pubmed · retrieved 2026-11-10T12:36:47.860Z