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):
* please note that a MATLAB licence is NOT provided for this path of study.
- Please link to the short url for the Practical Image Analysis 2 webpage: