Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT - Top-Institutions - MDSpire

Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT

  • By

  • Long Xia

  • Hai-Yang Chen

  • Ya-Wen Cao

  • Chen-Quan Gan

  • Jun-Zhang Zhao

  • Wei-Hua Zheng

  • Haiwen Jia

  • Shuai Jiang

  • Xuwang Li

  • Hua Li

  • Yi-Nuo Tu

  • Jun-Jing Zhang

  • January 27, 2026

  • 0 min

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Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Hepatology
    • Radiology
    • Medical Imaging Informatics
    • Oncology

  • #2

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Hepatology
    • Radiology
    • Biomedical Informatics

  • #3

    Massachusetts General Hospital (MGH) / Harvard Medical School
    Massachusetts General Hospital (MGH) / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Hepatology
    • Biomedical Engineering

  • #4

    University of Washington Medical Center
    University of Washington Medical Center

    Seattle, WA

    Key Differentiators

    • Hepatology
    • Radiology
    • Medical Imaging

  • #5

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Hepatology
    • Biomedical Informatics

Original Source(s)

Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT

  • by Long Xia, Hai-Yang Chen, Ya-Wen Cao, Chen-Quan Gan, Jun-Zhang Zhao, Wei-Hua Zheng, Haiwen Jia, Shuai Jiang, Xuwang Li, Hua Li, Yi-Nuo Tu, Jun-Jing Zhang

  • January 27, 2026

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