@inproceedings{f4feddadf47c4a50b23a47debe481f53,
title = "Biomedical Imaging: A Computer Vision Perspective",
abstract = "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.",
author = "Xiaoyi Jiang and Mohammad Dawood and Fabian Gigengack and Benjamin Risse and S{\"o}nke Schmid and Daniel Tenbrinck and Klaus Sch{\"a}fers",
year = "2013",
doi = "10.1007/978-3-642-40261-6_1",
language = "English",
isbn = "978-3-642-40260-9",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "1--19",
booktitle = "Computer Analysis of Images and Patterns",
address = "United Kingdom",
}