SCC-Net: A lightweight attention-enhanced deep learning model for automated squamous cell carcinoma detection - Top-Institutions - MDSpire

SCC-Net: A lightweight attention-enhanced deep learning model for automated squamous cell carcinoma detection

  • By

  • Yi Wu

  • Xianwei Li

  • Muxin Zhao

  • July 2, 2026

  • 0 min

Share

Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    University of Chicago
    University of Chicago

    Chicago, IL

    Key Differentiators

    • Oncology

  • #2

    Cancer Genome Atlas
    Cancer Genome Atlas

    N/A, N/A

    Key Differentiators

    • Genomics

  • #3

    UChicago Medicine
    UChicago Medicine

    Chicago, IL

    Key Differentiators

    • Oncology

  • #4

    Technion – Israel Institute of Technology
    Technion – Israel Institute of Technology

    Haifa, Israel

    Key Differentiators

    • Technology

  • #5

    University of Gothenburg
    University of Gothenburg

    Gothenburg, Sweden

    Key Differentiators

    • Dermatology

Original Source(s)

SCC-Net: A lightweight attention-enhanced deep learning model for automated squamous cell carcinoma detection

  • by Yi Wu, Xianwei Li, Muxin Zhao

  • July 2, 2026

Related Content

Submandibular gland preservation versus removal during neck dissection in oral squamous cell carcinoma: a systematic review and meta-analysis

Ultraviolet radiation as a double-edged regulator of melanocyte function in vitiligo therapy and melanoma carcinogenesis

Multiple primary head and neck cancers: a scenario-based framework for diagnosis and modern multidisciplinary management