/AI-for-Medicine-Specialization

AI for Medicine Specialization by deeplearning.ai

Primary LanguageJupyter Notebook

AI for Medicine Specialization

  • AI for Medical Diagnosis
    • Week 1
      • Data Exploration & Image Pre-Processing
      • Patient Overlap
      • Counting labels and weighted loss function
      • Densenet
      • Chest X-Ray Medical Diagnosis with Deep Learning
    • Week 2
      • Evaluation of Diagnostic Models
    • Week 3
      • Explore MRI data
      • Get a sub section
      • Implement U-Net
      • Brain Tumor Auto-Segmentation for Magnetic Resonance Imaging (MRI)
  • AI for Medical Prognosis
    • Week 1
      • Diagnosing Diseases using Linear Risk Models
    • Week 2
      • Risk Models Using Machine Learning
    • Week 3
      • Non-Parametric Estimators for Survival Analysis
    • Week 4
      • Cox Proportional Hazards and Random Survival Forests
  • AI For Medical Treatment
    • Week 1
    • Week 2
    • Week 3

Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani and Eddy Shyu.

These course materials belong entirely to deeplearning.ai. The solutions are only mine.