Machine learning meets medical imaging: Learning and discovery of clinically useful information from images

Rueckert D, Wolz R, Aljabar P (2014)

Publication Type: Conference contribution

Publication year: 2014

Publisher: CRC Press/Balkema

Pages Range: 3-8

Conference Proceedings Title: Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013

Event location: Funchal, PRT

ISBN: 9781138000810

Abstract

Three-dimensional (3D) and four-dimensional (4D) imaging plays an increasingly important role in computer-assisted diagnosis, intervention and therapy. However, in many cases the interpretation of these images is heavily dependent on the subjective assessment of the imaging data by clinicians. Over the last decades image registration has transformed the clinical workflow in many areas of medical imaging. At the same time, advances in machine learning have transformed many of the classical problems in computer vision into machine learning problems. This paper will focus on the convergence of image registration and machine learning techniques for the discovery and quantification of clinically useful information from medical images. We will illustrate this with several examples such as the segmentation of neuro-anatomical structures, the discovery of biomarkers for neurodegenerative diseases and the quantification of temporal changes such as atrophy in Alzheimer’s disease.

Involved external institutions

Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB) King’s College London GB United Kingdom (GB)

How to cite

APA:

Rueckert, D., Wolz, R., & Aljabar, P. (2014). Machine learning meets medical imaging: Learning and discovery of clinically useful information from images. In João Manuel, R.S. Tavares, R.M. Natal Jorge (Eds.), Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013 (pp. 3-8). Funchal, PRT: CRC Press/Balkema.

MLA:

Rueckert, Daniel, Robin Wolz, and Paul Aljabar. "Machine learning meets medical imaging: Learning and discovery of clinically useful information from images." Proceedings of the 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013, Funchal, PRT Ed. João Manuel, R.S. Tavares, R.M. Natal Jorge, CRC Press/Balkema, 2014. 3-8.

BibTeX: Download