Automatic Detection of Distal Humerus Features: First Steps

José Negrillo-Cárdenas, Juan-Roberto Jiménez-Pérez, Francisco Feito

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 Harvard Style

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


in Bibtex Style

@conference{grapp19,
author={José Negrillo-Cárdenas and Juan-Roberto Jiménez-Pérez and Francisco 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},
}


in EndNote Style

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