Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Vila" and "Real"
Treffer 1 von 178
|
|
| Link zu diesem Datensatz | https://d-nb.info/133483590X |
| Titel | Wireless Mobile Communication and Healthcare : 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings / edited by António Cunha, Anselmo Paiva, Sandra Pereira |
| Person(en) |
Cunha, António (Herausgeber) Paiva, Anselmo (Herausgeber) Pereira, Sandra (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XVII, 484 p. 223 illus., 185 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-60664-9 Printed edition:: ISBN: 978-3-031-60666-3 |
| Inhalt | -- Medical, Communications and Networking. -- Geometric Perception of the Brain: a Classical Approach using Image Segmentation. -- Determination of Effective Connectivity of Brain Activity in the Resting Brain. -- Evanescent Wave Filtering for Ultrasound RF-Data Compression. -- SpinalTracking: An Application to Help Track Spinal Deformities. -- Optimising Wheelchair Path Planning. -- eDEM-CONNECT: An ontology-based chatbot for family caregivers of people with dementia. -- Digital Imaging and Communications in Medicine (DICOM). Biomedical, and Health Informatics. -- A Cascade Approach for Automatic Segmentation of Coronary Arteries Calcification in Computed Tomography Images using Deep Learning. -- Evaluation of Transfer Learning with a U-Net Architectures for Kidney Segmentation. -- Training U-Net with Proportional Image Division for Retinal Structure Segmentation. -- Eff-Unet For Automated Trachea Segmentation On CT Images. -- A Vision Transformer Approach to Fundus Image Classification. -- Glaucoma Grading Using Fundus Images. -- Automatic Detection of Pathologies in Medical Images Using Deep Features and Machine Learning. -- Segmentation in Capsule Endoscopy Images Using TransUNet. -- Automating the Annotation of Medical Images in Capsule Endoscopy through Convolutional Neural Networks and CBIR. -- Similarity-Based Explanations for Deep Interpretation of Capsule Endoscopy Images. -- Deep Learning Applications in Histopathological Images. -- Tooth Detection and Numbering in Panoramic Radiographs using YOLOv8-Based Approach. -- Automatic Detection of Polyps Using Deep Learning. -- Detection of Landmarks in X-Ray Images through Deep Learning. -- Performance analysis of CNN models in the detection and classification of diabetic retinopathy. -- Deep Learning Model Evaluation and Insights in Inherited Retinal Disease Detection. -- Indoor air quality in a residential building – a health issue. -- Identification and detection in building images of biological growths – prevent a health issue. -- Informative classification of Capsule Endoscopy videos using Active Learning. -- Multimedia e-health data exchange services. Signal/Data Processing and Computing For Health Systems. -- Develop method to efficiently apply image-based facial emotion classification models to video data. -- DeepSquitoes: A mobile system framework for the surveillance of disease-carrying mosquitoes. -- BrainGain: a technological approach for increasing consciousness in coma patients. -- PHPlace: A New Perspective on Managing Pelvic Organ Prolapse Through Mobile Applications. -- Behavioural Changes using mHealth: An Experimental Case Study. -- Gym at Home - A Proof-of-Concept. -- Automatic Food Labels Reading System. -- Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People’s Cough Detection Models. -- EEG monitoring in driving using embedded systems. -- Complex systems and optimal pandemic control. -- Automated Classification of Prostate Cancer Severity using Pre-trained Models |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2407040438371.976395130783 DOI: 10.1007/978-3-031-60665-6 |
| URL | https://doi.org/10.1007/978-3-031-60665-6 |
| ISBN/Einband/Preis | 978-3-031-60665-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 578 |
| DDC-Notation | 610.28 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
Treffer 1 von 178
Administration
