MemSAM-2.5D: overcoming volumetric discontinuity and boundary ambiguity for 3D liver tumor segmentation - Top-Institutions - MDSpire

MemSAM-2.5D: overcoming volumetric discontinuity and boundary ambiguity for 3D liver tumor segmentation

  • By

  • Yinyin Hou

  • Ningning Chen

  • Tingting Huo

  • Weijia Wang

  • July 8, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    University of Texas MD Anderson Cancer Center
    University of Texas MD Anderson Cancer Center

    Houston, Texas

    Key Differentiators

    • Cancer
    • Radiology

  • #2

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, New York

    Key Differentiators

    • Cancer
    • Radiology

  • #3

    Yale School of Medicine
    Yale School of Medicine

    New Haven, Connecticut

    Key Differentiators

    • Radiology
    • Oncology

  • #4

    Beaujon Hospital
    Beaujon Hospital

    Clichy, France

    Key Differentiators

    • Radiology
    • Oncology

Original Source(s)

MemSAM-2.5D: overcoming volumetric discontinuity and boundary ambiguity for 3D liver tumor segmentation

  • by Yinyin Hou, Ningning Chen, Tingting Huo, Weijia Wang

  • July 8, 2026

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