Wireless Mobile Communication and Healthcare 12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings /
This book constitutes the refereed post-conference proceedings of the 12th International Conference on Mobile Communication and Healthcare, MobiHealth 2023, held in November 29-30, 2023 in Vila Real, Portugal. The 35 full papers of MobiHealth 2023 were carefully selected from 111 submissions and pre...
שמור ב:
| מחבר תאגידי: | |
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| מחברים אחרים: | , , |
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | אנגלית |
| יצא לאור: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| מהדורה: | 1st ed. 2024. |
| סדרה: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
578 |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/978-3-031-60665-6 |
| תגים: |
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תוכן הענינים:
- -- 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.