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: Document Edinburgh Imaging Academy - Practical Image Analysis 2 [10 credits] (231.02 KB / PDF) Location:Online, distance learning onlyNumber of credits:10Teaching starts:Jan / Winter / Semester 2Core course:Applied medical image analysis CertApply for the programmeElective course for:Please note that elective courses will not run if the cohort is too smallImaging MSc / Dip / CertApply for the programmeStudy this course AND gain University credit:Learn more about Online, supervised learningSuitable for CPD, CMEStarts as aboveApply for the individual course, Practical Image Analysis 2 for university credit.When you click through, follow the "PG Professional Development" application link at the bottom right.Study this course WITHOUT gaining University credit:Learn more about Online, UNsupervised learningSuitable for FRCR Part 1 training, CPD, CMEStarts anytimeRegister & pay for the individual course, Practical Image Analysis 2 without university credit.** please note that a MATLAB licence is NOT provided for this path of study. Relevant linksPlease link to the short url for the Practical Image Analysis 2 webpage:www.ed.ac.uk/edinburgh-imaging/course-practical-image-analysis2-pia2 In the news:11 Jul 23. Featured resource This article was published on 2024-08-22