Wireless Mobile Communication and Healthcare
portes grátis
Wireless Mobile Communication and Healthcare
12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings
Pereira, Sandra; Paiva, Anselmo; Cunha, Antonio
Springer International Publishing AG
08/2024
484
Mole
9783031606649
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- 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 e?iciently 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.
.- 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 e?iciently 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Medical edge computing;Medical internet of things;Health IT Infrastructure;Converged networks and applications;Network and services virtualization;Quality of Service (QoS);Software-Defined Networking (SDN);Health Informatics;Bioinformatics;Human Computing Interaction;Clinical Decision Support Systems;Computer-aided detection;Clinical workflow;Machine learning;Consumer health;Health Information Systems;Life and medical sciences, Computational biology, Imaging;Health care information systems;Nursing Informatics
.- 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 e?iciently 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.
.- 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 e?iciently 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Medical edge computing;Medical internet of things;Health IT Infrastructure;Converged networks and applications;Network and services virtualization;Quality of Service (QoS);Software-Defined Networking (SDN);Health Informatics;Bioinformatics;Human Computing Interaction;Clinical Decision Support Systems;Computer-aided detection;Clinical workflow;Machine learning;Consumer health;Health Information Systems;Life and medical sciences, Computational biology, Imaging;Health care information systems;Nursing Informatics
