Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Find the Best Radiology Course for Your Goals
- Status: Free Trial
Stanford University
Skills you'll gain: Feature Engineering, Data Ethics, Clinical Research, Clinical Data Management, Health Informatics, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Transformation, Data Collection, Text Mining, Data Processing, Medical Imaging
- Status: Preview
University of Michigan
Skills you'll gain: Text Mining, Unstructured Data, Health Informatics, Natural Language Processing, Data Mining, Clinical Informatics, Deep Learning, Feature Engineering, Machine Learning, Medical Terminology, Artificial Neural Networks, Supervised Learning, Python Programming, Computer Programming, Computer Programming Tools
- Status: Free Trial
Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging
- Status: NewStatus: Free Trial
Skills you'll gain: Human Musculoskeletal System, Orthopedics, Kinesiology, Medical Imaging, Anatomy, Diagnostic Tests, Sports Medicine, Physical Therapy, Exercise Science, Physiology, Medical Terminology, Chronic Diseases
- Status: Preview
National Taiwan University
Skills you'll gain: Pulmonology, Respiration, Oncology, Preventative Care, Radiation Therapy, Diagnostic Tests, Epidemiology, Immunology, Chronic Diseases, Treatment Planning, Patient Education And Counseling, X-Ray Computed Tomography, Medical Imaging, Surgery
- Status: Preview
National Taiwan University
Skills you'll gain: Global Positioning Systems, Radiation Protection, Telecommunications, Wireless Networks, Medical Imaging, Electrical Safety, Communication Systems, Geospatial Information and Technology, Emerging Technologies, Electrical Engineering, Electronics
- Status: Preview
National Taiwan University
Skills you'll gain: Medical Imaging, Physics, Physical Science, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Biology, Experimentation, Scientific Visualization, Scientific Methods
- Status: Free Trial
Rice University
Skills you'll gain: Medical History Documentation, Medical Terminology, Pulmonology, Cardiology, Electronic Medical Record System, Medical Records, Endocrinology, Hematology, Anatomy, Immunology, Patient Treatment, Diagnostic Tests
- Status: Free Trial
Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Matlab, Motion Graphics, Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Visualization (Computer Graphics)
- Status: Preview
Institut Mines-Télécom
Skills you'll gain: Image Analysis, Computer Vision, Python Programming, Pandas (Python Package), Computer Programming, Medical Imaging, Jupyter, Algorithms, Plot (Graphics), Debugging, Applied Mathematics, Data Import/Export
- Status: Free Trial
Rice University
Skills you'll gain: Medical History Documentation, Medical Terminology, Electronic Medical Record System, Medical Records, Obstetrics And Gynecology, Neurology, Gynecology, Diagnostic Tests, Anatomy, Psychiatry
- Status: Preview
MathWorks
Skills you'll gain: Image Analysis, Matlab, Computer Vision, Automation Engineering, Medical Imaging
In summary, here are 10 of our most popular radiology courses
- Introduction to Clinical Data: Stanford University
- Information Extraction from Free Text Data in Health: University of Michigan
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- The Framework of Movement: Understanding Bones and Muscles : Immersify
- 一堂課讓你認識肺癌(Basic Concepts of Lung Cancer: Diagnosis and Treatment): National Taiwan University
- 生活中的電波: National Taiwan University
- 基礎光學一 (Introduction to Optics (1)): National Taiwan University
- Medical Terminology II: Rice University
- Object Tracking and Motion Detection with Computer Vision: MathWorks
- Traitement d'images : introduction au filtrage: Institut Mines-Télécom