Deep Learning for Diagonal Earlobe Crease Detection

Sara Almonacid-Uribe, Oliverio Santana, Daniel Hernández-Sosa, David Freire-Obregón

2023

Abstract

An article published on Medical News Today in June 2022 presented a fundamental question in its title: Can an earlobe crease predict heart attacks? The author explained that end arteries supply the heart and ears. In other words, if they lose blood supply, no other arteries can take over, resulting in tissue damage. Consequently, some earlobes have a diagonal crease, line, or deep fold that resembles a wrinkle. In this paper, we take a step toward detecting this specific marker, commonly known as DELC or Frank’s Sign. For this reason, we have made the first DELC dataset available to the public. In addition, we have investigated the performance of numerous cutting-edge backbones on annotated photos. Experimentally, we demonstrate that it is possible to solve this challenge by combining pre-trained encoders with a customized classifier to achieve 97.7% accuracy. Moreover, we have analyzed the backbone trade-off between performance and size, estimating MobileNet as the most promising encoder.

Paper Citation

in Harvard Style

Almonacid-Uribe S., Santana O., Hernández-Sosa D. and Freire-Obregón D. (2023). Deep Learning for Diagonal Earlobe Crease Detection. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 74-81. DOI: 10.5220/0011644400003411

in Bibtex Style

@conference{icpram23,
author={Sara Almonacid-Uribe and Oliverio Santana and Daniel Hernández-Sosa and David Freire-Obregón},
title={Deep Learning for Diagonal Earlobe Crease Detection},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={74-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011644400003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Deep Learning for Diagonal Earlobe Crease Detection
SN - 978-989-758-626-2
AU - Almonacid-Uribe S.
AU - Santana O.
AU - Hernández-Sosa D.
AU - Freire-Obregón D.
PY - 2023
SP - 74
EP - 81
DO - 10.5220/0011644400003411