Python For Medical Imaging For Beginners

Python, Medical Imaging

What you'll learn

The students will learn the different types of images used in medical field from 8-bit images like png, jpeg, bmp to specialized images like DICOM, Nifti, TIFF.

They will have a hands-on experience of how to read, visualize and write different medical images using python.

They will gain a comprehensive knowledge of different types of medical images such as 8 and 16-bit images, gray scale and color images, 2D and 3D images.

The students will also be able to read and write header attributes in the meta data present in image header with python.

They will also learn to apply basic image processing techniques using python.

The students will learn to use different python packages and their functions available for different types of medical images.

Requirements

Basic Python programming

Description

This introductory course is designed for beginners eager to explore the intersection of Python programming and medical imaging. Participants will learn how to use Python to analyze, visualize, and process medical imaging data, with applications in radiology, diagnostics, and research. The course provides a hands-on approach, guiding learners through essential Python libraries while introducing core concepts of medical imaging, including DICOM file handling, image segmentation, and enhancement. By the end of the course, students will gain foundational skills to manipulate and interpret medical images, paving the way for advanced studies or careers in healthcare technology, bioinformatics, and medical imaging analysis. No prior knowledge in medical imaging experience is required—just a passion for learning!This beginner-friendly online course introduces Python programming specifically tailored for medical imaging applications. Designed for healthcare professionals, researchers, and individuals with little to no prior programming experience, the course covers the fundamentals of Python and how they apply to medical imaging tasks such as image processing, analysis, and visualization.Participants will learn how to manipulate medical images in common formats (e.g., DICOM, PNG, and JPEG) using popular Python libraries. The course will guide learners through key concepts such as reading and displaying medical images, basic image transformations, noise reduction, image enhancement, and feature extraction. Emphasis will be placed on practical, hands-on exercises to help students gain confidence in working with medical data.Throughout the course, learners will explore real-world examples, including MRI, CT scans, and X-ray images, while developing skills that can be applied to a variety of medical fields, from diagnostics to research. By the end of the course, participants will be able to write simple Python scripts for processing and analyzing medical images, understand the basics of medical image formats, and have a solid foundation for further exploration in the field of medical imaging.

Overview

Section 1: Introduction

Lecture 1 Digital Image and their Characteristics

Section 2: Types to Images in Medical Field

Lecture 2 Introduction to medical images

Lecture 3 BMP, PNG, JPEG

Lecture 4 Introduction to DICOM file

Lecture 5 Introduction to NifTI Image

Lecture 6 Introduction to TIFF Image

Lecture 7 Introduction to STL image

Section 3: Read, Visualize and Write Medical Images with Python

Lecture 8 Introduction

Lecture 9 Matplotlib

Lecture 10 Open Computer Vision (cv2)

Lecture 11 ImageIO-Part 1

Lecture 12 ImageIO-Part 2

Lecture 13 ImageIO-Part 3

Lecture 14 Pillow

Lecture 15 PyDICOM for DICOM File - Part 1

Lecture 16 PyDICOM for DICOM File - Part 2

Lecture 17 NiBabel for NifTI file

Lecture 18 Tifffile for TIFF file

Lecture 19 vedo for STL file

Section 4: Image Enhancement

Lecture 20 Introduction

Lecture 21 Contrast and Brightness

Lecture 22 Smoothing

Lecture 23 Sharpening

Lecture 24 Image Transformation

Healthcare IT professionals dealing with specialized medical images used in radiology, pathology etc.,Beginner python developers dealing with medical image processing with AI.,Software developers dealing with specialized medical images in healthcare ecosystem.,And anyone interested in learning how to process and analyze medical images using python.