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| Link zu diesem Datensatz | https://d-nb.info/1378704347 |
| Titel | Machine Learning Methods in Biomedical Field : Computer-Aided Diagnostics, Healthcare and Biology Applications / edited by Ernesto Moya-Albor, Hiram Ponce, Jorge Brieva, Sandra L. Gomez-Coronel, Diego Renza Torres |
| Person(en) |
Moya-Albor, Ernesto (Herausgeber) Ponce, Hiram (Herausgeber) Brieva, Jorge (Herausgeber) Gomez-Coronel, Sandra L. (Herausgeber) Torres, Diego Renza (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XVII, 492 p. 172 illus., 146 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-96327-8 Printed edition:: ISBN: 978-3-031-96329-2 Printed edition:: ISBN: 978-3-031-96330-8 |
| Inhalt | Edge-enhanced Knowledge Distillation System for Diabetic Retinopathy Lesions Computer-Aided Diagnosis -- Development of a Mobile Application for Dermatological Diagnosis Using Image Recognition: The DermAware Case Study -- Measuring the Diameter of Coronary Arteries via Skeletonization using a U-Net Architecture -- Deep Belief Networks for Efficient Macular Edema Detection in Retinal Fundus Images -- Automatic Spatial Localization of Coronary Stenosis in X-ray Angiograms Using Deep Learning -- Deep Learning for Pediatric Right Ventricle Segmentation in Echocardiography: Challenges and Strategies -- Challenges and Advances in Digital Processing of Fetal Phonocardiography Signal: A Review -- Implications of Model Loss and Configuration for Sparse Histological Segmentation -- Metaheuristic Strategy in Automatic Robotics Navigation for Patient Care in Hospitals -- Orthosis Control based on Electromyographic Signals and Machine Learning -- Internet of Medical Things Focused on Home Hospitalization for Diagnostic and Monitoring Support -- Automatic Robotics Medication Delivery System: The ANDIS Case Study -- Making Better Medical Decisions Using Machine Learning: A Bayesian Model -- Determining the Influence of Socioeconomic and Clinical Factors in Diabetes in the Mexican Population Using Machine Learning Techniques -- Sphonic: Development of a Mobile Application Using AI and AR for Learning Biomedical Concepts -- A Case Study on Pigmentation of Marine Species in Captivity and a Possible Application of AI to Marine Biomedical Research -- Ligand-based Virtual Screening Workflow for Antimalarial Repositioning from Known Drugs and Chemical Libraries -- Redefining Care: Hospitals’ Pivotal Role in Sustainable Development -- Cutting-Edge Technologies: Driving Sustainability in Hospital Operations |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2510110406194.963837643577 DOI: 10.1007/978-3-031-96328-5 |
| URL | https://doi.org/10.1007/978-3-031-96328-5 |
| ISBN/Einband/Preis | 978-3-031-96328-5 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Studies in Computational Intelligence ; 1218 |
| DDC-Notation | 610.28 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
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