Biomedical Imaging: A Computer Vision Perspective

Xiaoyi Jiang, Mohammad Dawood, Fabian Gigengack, Benjamin Risse, Sönke Schmid, Daniel Tenbrinck, Klaus Schäfers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Many computer vision algorithms have been successfully adapted and applied to biomedical imaging applications. However, biomedical computer vision is far beyond being only an application field. Indeed, it is a wide field with huge potential for developing novel concepts and algorithms and can be seen as a driving force for computer vision research. To emphasize this view of biomedical computer vision we consider a variety of important topics of biomedical imaging in this paper and exemplarily discuss some challenges, the related concepts, techniques, and algorithms.
Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns
Subtitle of host publication15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I
PublisherSpringer Berlin Heidelberg
Pages1-19
Number of pages19
ISBN (Electronic)978-3-642-40261-6
ISBN (Print)978-3-642-40260-9
DOIs
Publication statusPublished - 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume8047
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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