SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time

Poster Presentation Details
  • Title: SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time
  • Participant 1: Abdullah Al Mahmud
  • Department: Computing and Information System
  • Faculty: Faculty of Science and Information Technology
  • Level: Graduate
  • Year: 2025
  • Position: 3rd Place