Dual concatenated transfer learning with attention fusion: An ensemble-enhanced approach for skin lesion classification - Top-Institutions - MDSpire

Dual concatenated transfer learning with attention fusion: An ensemble-enhanced approach for skin lesion classification

  • By

  • Probal Bhowmick

  • Julia Rahman

  • Anwar Hossain Efat

  • Tasfi Fairoz Nidhi

  • Dipanjan Karmaker Amit

  • June 8, 2026

  • 0 min

Share

Top Institutions in Dermatology

Brief introduction explaining scope and methodology.

  • #1

    Stanford Medicine
    Stanford Medicine

    Stanford, California

    Key Differentiators

    • Dermatology
    • Artificial Intelligence in Medicine

  • #2

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, New York

    Key Differentiators

    • Dermatology
    • Oncology

  • #3

    Ludwig Maximilian University
    Ludwig Maximilian University

    Munich, Bavaria

    Key Differentiators

    • Dermatology
    • Medical Research

  • #4

    Karolinska Institute
    Karolinska Institute

    Stockholm, Stockholm

    Key Differentiators

    • Dermatology
    • Medical Research

  • #5

    National Information Society Agency
    National Information Society Agency

    Seoul, Seoul

    Key Differentiators

    • Medical Research
    • Data Curation

Original Source(s)

Dual concatenated transfer learning with attention fusion: An ensemble-enhanced approach for skin lesion classification

  • by Probal Bhowmick, Julia Rahman, Anwar Hossain Efat, Tasfi Fairoz Nidhi, Dipanjan Karmaker Amit

  • June 8, 2026

Related Content

Cutaneous adverse events with antibody-drug conjugates: a FAERS-based pharmacovigilance study

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

Editorial: Overcoming resistance to immune checkpoint inhibitors: mechanisms and strategies in cancer therapy