Combining CNN and Transformer for Enhancing Medical Image Captioning

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In this video, I present our research paper titled "Combining CNN and Transformer for Enhancing Medical Image Captioning."
You will learn how we leveraged the power of Convolutional Neural Networks (CNNs) for visual feature extraction and Transformers for generating accurate and coherent textual descriptions of medical images.
I delve into the motivations behind this research, the methodologies employed, and the results that demonstrate the effectiveness of combining CNNs and Transformers in the field of medical imaging.
This video is aimed at researchers, students, and professionals interested in the application of AI and deep learning in healthcare.
Key points covered in this video:
• The importance of medical imaging and automatic captioning
• The role of CNNs in capturing visual details
• Using Transformers to model complex relationships between images and text
• Challenges and future perspectives in this field
  1. Prof. Sabri
  2. Medical Image Captioning
  3. CNN
  4. Transformer
  5. AI in Healthcare
  6. Deep Learning
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