Computer-aided diagnosis of eyelid skin tumors using machine learning.

Journal: Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
PMID: 39214151

Abstract

OBJECTIVE: To develop an automated, new framework based on machine learning to diagnose malignant eyelid skin tumors.

Authors

  • Ofira Zloto
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel. ozloto@gmail.com.
  • Ofir Fogel
    Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel.
  • Guy Ben Simon
    Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel.
  • Mordechai Rosner
    Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Goldschleger Eye Institute, Sheba Medical Center, Tel Hashomer, Israel.
  • Vicktoria Vishnevskia-Dai
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Avner Hostovsky
    Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
  • Eyal Klang
    Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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