PRIVACY-PRESERVING EFFICIENT FEDERATED DEEP LEARNING MODEL FOR SKIN LESION CLASSIFICATION /

Lignende værker

• ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
  af: Halder, Rathin
  Udgivet: (2024)
• SKIN LESION ANALYSIS USING HYBRID MACHINE LEARNING TECHNIQUES FOR EARLY DETECTION OF SKIN CANCER /
  af: Nissan, Md. Diner Ahmed
  Udgivet: (2026)
• A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /
  af: Ghosh, Bijoya
  Udgivet: (2024)
• DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
  af: AHMED, HUMAYRA
  Udgivet: (2026)
• MEDSKIN: A MACHINE LEARNING APPROACH FOR SKIN DISEASE CLASSIFICATION /
  af: SUBRINA, UMMA SAIKA
  Udgivet: (2025)