Image Analysis Methodologies
What to expect
Suitable for any ESR member interested in undertaking research, but with a particular focus on those early in their careers. This course aims to present some of the fundamental aspects of radiological research. The course consists of 1 online session of 60 min (5 min introduction, 40 min presentation, 15 min Q&A).
It is increasingly common to use a quantitative approach for radiological research using computational and automated methods. Imaging data are processed with algorithms and pipelines, and often need to be stored outside PACS to enable such processing. In this session, the various approaches to image analysis are discussed together with potential concerns such as data security.
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Accreditation
Applications will be made to the European Accreditation Council for Continuing Medical Education (EACCME) for CME accreditation of this event.
Applications have been made to the European Accreditation Council for Continuing Medical Education (EACCME) for CME accreditation of this event.
The course has been granted 1 European CME credit (ECMEC®s) by the European Accreditation Council for Continuing Medical Education (EACCME).
Certificates with CME credits will be issued only after watching the live stream and completing an online evaluation form.
No CME credits will be available for watching on demand.
We work with impartiality and transparency. Find the steering committee disclosure forms here →
Learning Objectives
- to understand the concepts and commonly used terminology of image analysis methodologies
- to learn about the important pitfalls and concerns with automated image analysis
Programme
| 13:30 – 13:35 | Course introduction by the moderator T. Das, Cambridge/GB |
| 13:35 – 14:15 | Lecture: Image analysis pipelines E. Bron, Rotterdam/NL |
| 14:15 – 14:30 | Q&A T. Das, Cambridge/GB & E. Bron, Rotterdam/NL |
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