Authors:
Sara Almonacid-Uribe
;
Oliverio Santana
;
Daniel Hernández-Sosa
and
David Freire-Obregón
Affiliation:
SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Keyword(s):
Computer Vision, Diagonal Earlobe Crease, DELC, Frank’s Sign, Cardiovascular Disease, Coronary Artery Disease, Deep Learning.
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 en
coder.
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