Medical AI Project

• #1: Let's find out about X-ray and CT, which are representative image images used as 2D images
• #2: Let's find out about MRI and PET, which are representative image images used as 2D images
• #3: Complete conquest of DICOM formats
• #4: Building Medical Image Datasets and Quality Control
• #5: Medical Image Classification — Designing CNN-based Models
• #6: Medical Image Segmentation — U-Net and its variants
• #7: Multimodal Medical AI — Vision-Language Model and Report Generation

For AI Engineering

• #1: RAG Basics — The Principles of Vector DB and Embeddings
• #2: Advanced RAG — Techniques to Improve Retrieval Quality
• #3: CAG — Cache-Augmented Generation, Concepts and Implementation
• #4: LLM Fine-tuning — LoRA and QLoRA in Practice
• #5: LLM Evaluation — Measuring the Quality of RAG Systems