Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring

Meili Ren, Mengxing Huang, Yu Zhang, Zhijun Zhang, Meiyan Ren

Open source

DOI
10.1038/s41598-025-00048-9
Published
2025-05-08
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-00048-9,
  title = {Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring},
  author = {Meili Ren and Mengxing Huang and Yu Zhang and Zhijun Zhang and Meiyan Ren},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-00048-9},
  url = {https://doi.org/10.1038/s41598-025-00048-9}
}

RIS

TY  - JOUR
TI  - Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring
AU  - Meili Ren
AU  - Mengxing Huang
AU  - Yu Zhang
AU  - Zhijun Zhang
AU  - Meiyan Ren
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-00048-9
UR  - https://doi.org/10.1038/s41598-025-00048-9
ER  - 

APA

Ren, M., Huang, M., Zhang, Y., Zhang, Z., & Ren, M. (2025). Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring. Scientific Reports. https://doi.org/10.1038/s41598-025-00048-9

Source records