Meta-SSL: A Lightweight Meta-Learning-Augmented Self-Supervised Framework for Histomorphological Phenotyping and WSI Retrieval

Poster Presentation Details
  • Title: Meta-SSL: A Lightweight Meta-Learning-Augmented Self-Supervised Framework for Histomorphological Phenotyping and WSI Retrieval
  • Participant 1: Pranto Saha
  • Participant 2: Ishtiaque Ahmed
  • Department: Computer Science and Engineering
  • Faculty: Faculty of Science and Information Technology
  • Level: Graduate
  • Year: 2026
  • Position: 1st Place