Home / Research Articles Hub / Transformers in medical imaging: A survey
🤖 Artificial Intelligence OpenAlex

Transformers in medical imaging: A survey

📅 Published: April 5, 2023 👤 Fahad Shamshad, Salman Khan, Syed Waqas Zamir et al. 📖 Medical Image Analysis 📊 1,125 citations
AI-Generated Summary

This research explores Transformers in medical imaging: A survey, contributing new insights to the field of Artificial Intelligence.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Research demonstrates significant advances in performance benchmarks
  • 2 Study provides new evidence regarding model accuracy improvements
  • 3 Findings open new directions for computational efficiency
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

Read Full Paper at OpenAlex
More Artificial Intelligence Papers ← Back to Hub 📚 Learning Hub
Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Apr 5, 2023
Journal Medical Image Analysis
DOI 10.1016/j.media.2023.102802
Citations 1,125
Authors Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat