A Novel Framework for Skin Lesion Classification Using Hierarchical Attention Stacked Ensemble and Matthews Correlation Coefficient Weighted Averaging - Top-Institutions - MDSpire

A Novel Framework for Skin Lesion Classification Using Hierarchical Attention Stacked Ensemble and Matthews Correlation Coefficient Weighted Averaging

  • By

  • Jubaer Ahamed Bhuiyan

  • Anwar Hossain Efat

  • Md. Shifaul Hasan

  • Faniyam Maria Mansia

  • April 1, 2026

  • 0 min

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Top Institutions in Dermatology

Brief introduction explaining scope and methodology.

  • #1

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Dermatology
    • Artificial Intelligence
    • Medical Imaging

  • #2

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

    Boston, MA

    Key Differentiators

    • Dermatology
    • Biomedical Informatics
    • Machine Learning

  • #3

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, MD

    Key Differentiators

    • Dermatology
    • Computer Science
    • Medical Imaging

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Dermatology
    • Artificial Intelligence
    • Clinical Research

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Dermatology
    • Medical Informatics
    • Machine Learning

Original Source(s)

A Novel Framework for Skin Lesion Classification Using Hierarchical Attention Stacked Ensemble and Matthews Correlation Coefficient Weighted Averaging

  • by Jubaer Ahamed Bhuiyan, Anwar Hossain Efat, Md. Shifaul Hasan, Faniyam Maria Mansia

  • April 1, 2026

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