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.
翻译：2022年6月在《今日医疗新闻》上发表的一篇文章在其标题中提出了一个根本问题:耳垂能否预测心脏病发作?作者解释说,最后动脉供应心脏和耳朵。换句话说,如果它们失去血液供应,其他动脉就无法接管,从而造成组织损伤。因此,有些耳耳垂有一个类似于皱纹的对角折、线或深折。在本文中,我们迈出了一步,以探测这个具体标记,通常称为DELC或Frank的标志。为此,我们向公众提供了第一个DELC数据集。此外,我们还调查了附加说明照片上无数尖端骨架的性能。实验性地证明,通过将预先训练过的导师与定制的分类师结合起来,实现97.7%的准确性能,我们可以解决这一挑战。此外,我们分析了性能与体积之间的主干交换,将移动网络估算为最有希望的编码器。
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