Biomedical Image Analysis in Python

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

In recent years, biomedical imaging has experienced a lot more growth. Loading data can be complicated for people who aren't familiar with the subject. This course will teach you the basics of image analysis with NumPy or SciPy. This course will show you how to navigate through a CT scanner of your entire body, segment a cardiac MRI sequence, and determine if Alzheimer's disease has altered brain structure. Even if you have never used images before, you will be equipped with the necessary tools to enter this dynamic field.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate Python

What You Will Learn

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data

In this introductory course, you'll learn the fundamentals of image analysis using NumPy, SciPy, and Matplotlib

You'll navigate through a whole-body CT scan, segment a cardiac MRI time series, and determine whether Alzheimer’s disease changes brain structure

Course Content

Expand all sections

Module 1: Exploration

Module 2: Masks and Filters

Module 3: Measurement

Module 4: Image Comparison

Course Instructors

Stephen Bailey

Lead Data Scientist

Stephen Bailey is lead data scientist at Immuta, where he researches and develops best practices in data governance. He is passionate about democratizing science and is an enthusiastic member of the ...

Course Reviews

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