A Self-Supervised Hybrid Deep Learning Framework for Multi-Class Chest X-ray Classification on Imbalanced Data

Poster Presentation Details
  • Title: A Self-Supervised Hybrid Deep Learning Framework for Multi-Class Chest X-ray Classification on Imbalanced Data
  • Participant 1: Pranto Saha
  • Participant 2: Sadman Hafij
  • Department: Computer Science and Engineering
  • Faculty: Faculty of Science and Information Technology
  • Level: Undergraduate
  • Year: 2025
  • Position: 3rd Place