Multi-Class Classification of Thyroid Disorders Utilizing Modified DenseNet-201 and Tc-99m Scintigraphy Through Deep Learning Techniques - Top-Institutions - MDSpire

Multi-Class Classification of Thyroid Disorders Utilizing Modified DenseNet-201 and Tc-99m Scintigraphy Through Deep Learning Techniques

  • By

  • Hafiz Muhammad Usman Ghani

  • Javed Khan

  • Naimat Ullah Khan

  • Zahid Ullah Khan

  • Sajid Ullah Khan

  • Nazik Alturki

  • Shantanu Awasthi

  • Sarra Ayouni

  • February 1, 2026

  • 0 min

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Top Institutions in Endocrinology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Endocrinology
    • Nuclear Medicine
    • Radiology
    • Artificial Intelligence in Medicine

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Endocrinology
    • Nuclear Medicine
    • Biomedical Engineering
    • Machine Learning

  • #3

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

    Boston, MA

    Key Differentiators

    • Endocrinology
    • Nuclear Medicine
    • Radiology
    • Computational Medicine

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Endocrinology
    • Nuclear Medicine
    • Radiology
    • Artificial Intelligence

  • #5

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Endocrinology
    • Nuclear Medicine
    • Oncology
    • Medical Imaging AI

Original Source(s)

Multi-Class Classification of Thyroid Disorders Utilizing Modified DenseNet-201 and Tc-99m Scintigraphy Through Deep Learning Techniques

  • by Hafiz Muhammad Usman Ghani, Javed Khan, Naimat Ullah Khan, Zahid Ullah Khan, Sajid Ullah Khan, Nazik Alturki, Shantanu Awasthi, Sarra Ayouni

  • February 1, 2026

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