Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques

Fabio A. Gonzalez (National University of Colombia, Colombia ) and Eduardo Romero (National University of Colombia, Colombia )

Indexed In: SCOPUS

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781605669564

EISBN13: 9781605669571

DOI: 10.4018/978-1-60566-956-4

Description:

Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis.

Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Cardiac motion analysis
Computed tomography colonography
Computer-aided detection and diagnosis
Content-based visual information retrieval
Diagnosis of disease in medical images
Filtered and compressed medical images
Machine learning in biomedical image processing
Medical image classification
Spatial regularization processing
Tissue microscopic image analysis
Tissue segmentation

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Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques highlights the great research potential of this interdisciplinary area, providing insights on new potential applications of machine learning techniques to the solution of important problems in biomedical image applications.

– Fabio A. Gonzalez, National University of Colombia, Colombia

Fabio A. González is an Associate Professor at the Department of Computer Systems and Industrial Engineering, National University of Colombia. He is the co-leader of the Bioingenium research group. He earned a Computer Systems Engineer degree and a MSc in Math degree from the National University of Colombia in 1993 and 1998 respectively, and a MSc and PhD degrees in Computer Science from the University of Memphis, USA, in 2003. His research work is mainly focused on the foundations of machine learning and its applications to image processing, computer vision, data mining and information retrieval among others. He has published more than 50 research papers and has served as referee in different international journals and conferences.

Eduardo Romero received PhD in Biomedical Sciences from the Université Catholique de Louvain in 2000. Between 2000-2002 he worked as a Senior Researcher at the Communications and Remote sensing laboratory (UCL - Belgium), in the group of Medical Images. During 2003 he was with the group of chemical sensors at the Centro Nacional de Microelectrónica (CNM - Spain). Currently he is associated professor attached to the Telemedicine Centre of the Faculty of Medicine and leads both the Bioingenium group and the Biomedical Engineering postgraduate program. He has published more than 50 research papers and has served as referee in different international journals and conferences.

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