PPSW–SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging

Polat Goktas, Ricardo Simon Carbajo

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DOI: 10.3390/cells12101384
Published: 2023-05-13
Container: Cells
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/cells12101384,
  title = {PPSW–SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging},
  author = {Polat Goktas and Ricardo Simon Carbajo},
  year = {2023},
  journal = {Cells},
  doi = {10.3390/cells12101384},
  url = {https://doi.org/10.3390/cells12101384}
}

RIS

TY  - JOUR
TI  - PPSW–SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging
AU  - Polat Goktas
AU  - Ricardo Simon Carbajo
PY  - 2023
JO  - Cells
DO  - 10.3390/cells12101384
UR  - https://doi.org/10.3390/cells12101384
ER  -

APA

Goktas, P., & Carbajo, R. S. (2023). PPSW–SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging. Cells. https://doi.org/10.3390/cells12101384

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crossref · retrieved 2026-09-25T15:26:57.137Z