loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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

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

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometric Computing ; Geometry and Modeling ; Model Validation ; Modeling and Algorithms ; Surface Modeling

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.97.14.82

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (VISIGRAPP 2019) - GRAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2019) - GRAPP},
year={2019},
pages={354-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007686103540359},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP
TI - Automatic Detection of Distal Humerus Features: First Steps
SN - 978-989-758-354-4
IS - 2184-4321
AU - Negrillo-Cárdenas, J.
AU - Jiménez-Pérez, J.
AU - Feito, F.
PY - 2019
SP - 354
EP - 359
DO - 10.5220/0007686103540359
PB - SciTePress