Conference paper2025Published

Leveraging Persistent Homology for Liver Tumour Classification

Dashti A. Ali, Jacob J. Peoples, Ramtin Mojtahedi, Kaitlyn S. Kobayashi, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson

Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071Q.

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This conference paper is recorded in Medical Imaging 2025: Computer-Aided Diagnosis (2025). This page consolidates verified bibliographic metadata and the external records or research artifacts listed here.

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Work type
Conference paper
Year
2025
Publication date
2025-04-04
Status
Published
Venue
Medical Imaging 2025: Computer-Aided Diagnosis
Publisher
SPIE
Volume
13407
Pages
407-417
Article
134071Q
Last verified
2026-08-02

Research topics

  • persistent homology
  • topological data analysis
  • liver tumor classification
  • medical imaging

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Dashti A. Ali, Jacob J. Peoples, Ramtin Mojtahedi, Kaitlyn S. Kobayashi, William R. Jarnagin, Richard K. G. Do, and Amber L. Simpson. “Leveraging Persistent Homology for Liver Tumour Classification.” Medical Imaging 2025: Computer-Aided Diagnosis, Proceedings of SPIE 13407, 134071Q. https://doi.org/10.1117/12.3045640

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@inproceedings{Ali2025PersistentHomology,
  author = {Dashti A. Ali and Jacob J. Peoples and Ramtin Mojtahedi and Kaitlyn S. Kobayashi and William R. Jarnagin and Richard K. G. Do and Amber L. Simpson},
  title = {{Leveraging Persistent Homology for Liver Tumour Classification}},
  year = {2025},
  booktitle = {Medical Imaging 2025: Computer-Aided Diagnosis},
  volume = {13407},
  pages = {407-417},
  publisher = {SPIE},
  doi = {10.1117/12.3045640},
  url = {https://doi.org/10.1117/12.3045640}
}

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