Conference
Exploring Data Augmentation Strategies for Diagonal Earlobe Crease Detection
| العنوان: | Exploring Data Augmentation Strategies for Diagonal Earlobe Crease Detection |
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| المؤلفون: | Almonacid-Uribe, Sara, Santana, Oliverio J., Hernández-Sosa, Daniel, Freire-Obregón, David |
| المساهمون: | orcid:0000-0001-6660-0867, orcid:0000-0001-7511-5783, orcid:0000-0003-3022-7698, orcid:0000-0003-2378-4277, 57944786100, 7003605046, 6507124168, 23396618800, BU-INF |
| المصدر: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 14547 LNCS, p. 3-18, (Enero 2024) |
| سنة النشر: | 2024 |
| المجموعة: | Universidad de Las Palmas de Gran Canaria: Acceda |
| مصطلحات موضوعية: | 220990 Tratamiento digital. Imágenes, Cardiovascular Disease, Computer Vision, Coronary Artery Disease, Deep Learning, Delc, Diagonal Earlobe Crease, Frank’S Sign |
| الوصف: | Diagonal earlobe crease (DELC), also known as Frank’s sign, is a diagonal crease, line, or deep fold that appears on the earlobe and has been hypothesized to be a potential predictor of heart attacks. The presence of DELC has been linked to cardiovascular disease, atherosclerosis, and increased risk of coronary artery disease. Some researchers believe that DELC may be an indicator of an impaired blood supply to the earlobe, which could reflect similar issues in the heart’s blood supply. However, more research is needed to determine whether DELC is a reliable marker for identifying individuals at risk of heart attacks or other cardiovascular problems. To this end, the authors have released the first DELC dataset to the public and investigated the performance of numerous state-of-the-art backbones on annotated photos. The experiments demonstrated that combining pre-trained encoders with a customized classifier achieved 97.7% accuracy, with MobileNet being the most promising encoder in terms of the performance-to-size trade-off. ; 18 ; 3 |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| ردمك: | 978-3-031-54725-6 978-3-031-54726-3 3-031-54725-X 3-031-54726-8 |
| تدمد: | 0302-9743 1611-3349 |
| Relation: | La viabilidad jurídica del documento de voluntades anticipadas; Interaccióny Re-Identificación de Personas Mediante Machine Learning, Deep Learningy Análisis de Datos Multimodal: Hacia Una Comunicación Más Natural en la Robótica Social; Re-identificación mUltimodal de participaNtes en competiciones dEpoRtivaS; Infraestructura de Computación Científica Para Aplicaciones de Inteligencia Artificialy Simulación Numérica en Medioambientey Gestión de Energías Renovables (Iusiani-Ods); Lecture Notes in Computer Science; 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023); 14547 LNCS; Scopus; http://hdl.handle.net/10553/129689; 85187716134; events152778; Sí |
| DOI: | 10.1007/978-3-031-54726-3_1 |
| الاتاحة: | http://hdl.handle.net/10553/129689 https://doi.org/10.1007/978-3-031-54726-3_1 |
| رقم الانضمام: | edsbas.78892C7E |
| قاعدة البيانات: | BASE |
| ردمك: | 9783031547256 9783031547263 303154725X 3031547268 |
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| تدمد: | 03029743 16113349 |
| DOI: | 10.1007/978-3-031-54726-3_1 |