Practical Image Analysis 2
Online, distance education,focusing on advanced use & applications of MATLAB & toolboxes specific to image analysis & processing.
This practical, medical image analysis & processing course explores advanced MATLAB use & application. The course will help students assimilate & consolidate prior knowledge relating to image processing & analysis. Students will become familiar with 3D & 4D image operations, sophisticated image alignment & registration techniques, threshold-based image segmentation & classification, feature descriptors, machine learning applied to image segmentation & classification, 4D medical image analysis & processing, plus basic analyses of time series of volumetric image data.
Explore our syllabus:
| Location: | Online, distance learning only |
| Number of credits: | 10 |
| Teaching starts: | Jan / Winter / Semester 2 |
| Elective course for: |
Please note that elective courses will not run if the cohort is too small |
|
Study this course AND gain University credit (suitable for CPD, CME - starts as above): |
|
|
Study this course WITHOUT gaining University credit (suitable for FRCR Part 1 training, CPD, CME - starts anytime): |
Register & pay for the Practical Image Analysis 2* * please note that a MATLAB licence is NOT provided for this path of study. |
Relevant links
- Please link to the short url for the Practical Image Analysis 2 webpage: