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eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Analysing PET scans data for predicting response to chemotherapy in breast cancer patients

Author(s): E. Gyftodimos, L. Moss, D. Sleeman, A. Welch

Abstract:
We discuss the use of machine learning algorithms to predict which breast cancer patients are likely to respond to (neoadjunctive) chemotherapy. A group of 96 patients from the Aberdeen Royal Infirmary had the size of their tumours assessed by Positron Emission Tomography at various stages of their chemotherapy treatment. The aim is to predict at an early stage which patients have low response to the therapy, for which alternative treatment plans should be followed. A variety of machine learning algorithms were used with this data set. Results indicate that machine learning methods outperform previous statistical approaches on the same data set.

Full version: Available here

Click the link to go to an external website with the full version of the paper


ISBN:
Publication Year: 2008
Periodical: Applications and Innovations in Intelligent Systems Xv
Periodical Number:
Volume:
Pages: 59-72
Author Address: