Medical Imaging AI and Diagnostics
Radiology AI, pathology imaging, DICOM/NIfTI processing, segmentation, and diagnostic models with PyTorch and MONAI 2025–2026.
Key Concepts
- DICOM, NIfTI-1, and medical image formats
- U-Net and 3D U-Net for segmentation
- MONAI and PyTorch for healthcare imaging
- Chest X-ray, MRI, CT analysis
- Tumor detection and COVID-19 screening
- Explainability and clinical validation
- Regulatory pathways for imaging AI
📺 20 Curated YouTube Videos
▶ PyTorch MONAI Healthcare Imaging
freeCodeCamp
▶ OpenCV Computer Vision
freeCodeCamp
▶ ML Course
freeCodeCamp
▶ Neural Networks
Andrej Karpathy
▶ Medical AI Research
Two Minute Papers
▶ Data Science
freeCodeCamp
▶ Matplotlib
Corey Schafer
▶ Dashboards
Programming Is Fun
▶ ML
Patrick Loeber
▶ FastAPI
freeCodeCamp
▶ Pandas
Keith Galli
▶ SciPy
SciPy
▶ Python
freeCodeCamp
▶ Databases
Corey Schafer
▶ Docker
Rishab in Cloud
▶ NLP
freeCodeCamp
▶ Statistics
StatQuest
▶ Data Science
Imarticus
▶ Python
Tech With Tim
▶ Flask
Corey Schafer