DPCrossU-Net: a dual-branch parallel CNN–Transformer network for lung nodule segmentation - Top-Institutions - MDSpire

DPCrossU-Net: a dual-branch parallel CNN–Transformer network for lung nodule segmentation

  • By

  • Xiya Guan

  • Wen Zhu

  • Fangxiang Wu

  • June 9, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, Massachusetts

    Key Differentiators

    • Radiology

  • #2

    Stanford University/Stanford Health Care
    Stanford University/Stanford Health Care

    Stanford, California

    Key Differentiators

    • Radiology

  • #3

    Hospital of Stomatology, Wuhan University
    Hospital of Stomatology, Wuhan University

    Wuhan, Hubei

    Key Differentiators

    • Radiology

  • #4

    Cancer Genome Atlas
    Cancer Genome Atlas

    N/A, N/A

    Key Differentiators

    • Genomics

  • #5

    Otto-von-Guericke University of Magdeburg
    Otto-von-Guericke University of Magdeburg

    Magdeburg, Saxony-Anhalt

    Key Differentiators

    • Radiology

Original Source(s)

DPCrossU-Net: a dual-branch parallel CNN–Transformer network for lung nodule segmentation

  • by Xiya Guan, Wen Zhu, Fangxiang Wu

  • June 9, 2026

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