Hybrid DenseNet-U-Net framework for automated grading of renal cell carcinoma - Top-Institutions - MDSpire

Hybrid DenseNet-U-Net framework for automated grading of renal cell carcinoma

  • By

  • Rohini Jadhav

  • Banani Mohapatra

  • Bhavnish Walia

  • Sital Dash

  • Kailas Patil

  • Shrikant Jadhav

  • Ishwari Rohit Raskar

  • May 16, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    The University of Texas MD Anderson Cancer Center
    The University of Texas MD Anderson Cancer Center

    Houston, Texas

    Key Differentiators

    • Oncology
    • Urology

  • #2

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, New York

    Key Differentiators

    • Oncology

  • #3

    University Medical Center Goettingen
    University Medical Center Goettingen

    Göttingen, Lower Saxony

    Key Differentiators

    • Urology

  • #4

    Saarland University
    Saarland University

    Saarbrücken, Saarland

    Key Differentiators

    • Urology

Original Source(s)

Hybrid DenseNet-U-Net framework for automated grading of renal cell carcinoma

  • by Rohini Jadhav, Banani Mohapatra, Bhavnish Walia, Sital Dash, Kailas Patil, Shrikant Jadhav, Ishwari Rohit Raskar

  • May 16, 2026

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