AI Workshop: Medical Image Analysis
Workshop, KNU-LG Convergence Research Center, 2022
Intensive workshop on applying artificial intelligence techniques to medical image analysis, focusing on practical implementation and real-world applications in clinical settings.
Workshop Content
- Introduction to Medical AI
- Preprocessing techniques for medical images
- CNN architectures for medical imaging
- Transfer learning and domain adaptation
- Evaluation metrics for medical AI systems
Hands-on Sessions
- Implementing medical image classification models
- Working with MRI and CT scan data
- Building end-to-end AI pipelines for clinical use
- Model validation and clinical deployment considerations
Participants
The workshop was attended by:
- Graduate students in biomedical engineering
- Medical researchers and clinicians
- Industry professionals in medical AI
- Postdoctoral researchers in related fields experience 2” collection: teaching type: “Workshop” permalink: /teaching/2015-spring-teaching-1 venue: “University 1, Department” date: 2015-01-01 location: “City, Country” —
This is a description of a teaching experience. You can use markdown like any other post.