ABOUT PYMEDLAB
Python, AI & Medical Imaging Education
Learn about PyMedLab’s platform to teach Python, AI, data science and medical imaging through practical and expert-led tutorials.
Why PyMedLab Exists
Medical imaging is changing faster than the resources to learn it.
Python, artificial intelligence, and data science are transforming how researchers and healthcare professionals analyze images, develop new methods, and solve clinical problems.
Yet learning these technologies in a medical imaging context can be challenging. Knowledge is often scattered across programming courses, scientific documentation, imaging resources, and research papers.
PyMedLab was created to bridge that gap.
Our Mission
Helping medical physicists, researchers, and healthcare professionals use Python, AI, and data science to solve real-world medical imaging and research problems.
What we do
PyMedLab provides practical, structured learning resources that connect programming and computational methods with medical imaging.
AI & Machine Learning
Explore machine learning and deep learning applications in medical imaging.
Image Processing
Learn practical techniques for filtering, segmentation, registration, and image analysis.
Open-Source Projects
Build practical projects using open-source tools and reproducible workflows.
We don’t want you to learn programming in isolation. We want you to understand how computational tools can be applied to real problems in medical imaging and medical physics.
Learning by Doing
Learn. Build. Apply.
We believe the best way to learn computational methods is to use them. PyMedLab connects programming fundamentals with increasingly complex medical imaging and AI applications.
# load a CT series and apply a window/level
import pymedlab as pml
scan = pml.load_dicom("ct_series/")
scan.window(level=40, width=400) # soft tissue
scan.show()PyMedLab exists so no one has to learn medical imaging and Python as two separate subjects.