Automated pediatric brain tumor imaging assessment tool from CBTN: Enhancing suprasellar region inclusion and managing limited data with deep learning.

Journal: Neuro-oncology advances
Published Date:

Abstract

BACKGROUND: Fully automatic skull-stripping and tumor segmentation are crucial for monitoring pediatric brain tumors (PBT). Current methods, however, often lack generalizability, particularly for rare tumors in the sellar/suprasellar regions and when applied to real-world clinical data in limited data scenarios. To address these challenges, we propose AI-driven techniques for skull-stripping and tumor segmentation.

Authors

  • Deep B Gandhi
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Nastaran Khalili
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Ariana M Familiar
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Anurag Gottipati
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Neda Khalili
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Wenxin Tu
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Shuvanjan Haldar
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Hannah Anderson
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Karthik Viswanathan
    Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Phillip B Storm
    Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Jeffrey B Ware
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Adam Resnick
    Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Arastoo Vossough
    Division of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Ali Nabavizadeh
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Anahita Fathi Kazerooni
    Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

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