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Authors: José Negrillo-Cárdenas ; Juan-Roberto Jiménez-Pérez and Francisco Feito

Affiliation: Graphics and Geomatics Group of Jaén, University of Jaén, Campus Las Lagunillas S/N, Jaén, Spain

ISBN: 978-989-758-354-4

Keyword(s): Bone, Humerus, Feature Detection, Landmark Detection, Geometrical Approach, Spatial Decomposition.

Abstract: Identification of specific landmarks in tissues is fundamental for understanding the human anatomy in medical applications. Specifically, the assessment of bone features allows to detect several pathologies in orthopedics. The recognition has been formerly carried out via visual identification, providing insufficient accuracy. Automatic solutions are required to improve the precision and minimize diagnostic and surgical planning time. In this paper, we study distal humerus landmarks and a new algorithm to automatically detect them in a reasonable time. Our technique does not require a prior training, as a geometrical approach with a spatial decomposition is used to explore several regions of interest of the bone. Finally, a set of experiments are performed, showing promising results.

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Paper citation in several formats:
Negrillo-Cárdenas, J.; Jiménez-Pérez, J. and Feito, F. (2019). Automatic Detection of Distal Humerus Features: First Steps.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-354-4, pages 354-359. DOI: 10.5220/0007686103540359

@conference{grapp19,
author={José Negrillo{-}Cárdenas. and Juan{-}Roberto Jiménez{-}Pérez. and Francisco R. Feito.},
title={Automatic Detection of Distal Humerus Features: First Steps},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2019},
pages={354-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007686103540359},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - Automatic Detection of Distal Humerus Features: First Steps
SN - 978-989-758-354-4
AU - Negrillo-Cárdenas, J.
AU - Jiménez-Pérez, J.
AU - Feito, F.
PY - 2019
SP - 354
EP - 359
DO - 10.5220/0007686103540359

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