LEADER 06115nam 22006375 450 001 9910869164803321 005 20240628125711.0 010 $a3-031-60665-5 024 7 $a10.1007/978-3-031-60665-6 035 $a(MiAaPQ)EBC31505987 035 $a(Au-PeEL)EBL31505987 035 $a(CKB)32575378500041 035 $a(DE-He213)978-3-031-60665-6 035 $a(EXLCZ)9932575378500041 100 $a20240628d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWireless Mobile Communication and Healthcare $e12th EAI International Conference, MobiHealth 2023, Vila Real, Portugal, November 29-30, 2023 Proceedings /$fedited by António Cunha, Anselmo Paiva, Sandra Pereira 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (494 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v578 311 $a3-031-60664-7 327 $a -- 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. 330 $aThis book constitutes the refereed post-conference proceedings of the 12th International Conference on Mobile Communication and Healthcare, MobiHealth 2023, held in November 29-30, 2023 in Vila Real, Portugal. The 35 full papers of MobiHealth 2023 were carefully selected from 111 submissions and present science and technology aspects in the field of wireless communication, mobile computing and healthcare applications. The conference papers are organized in topical sections on: Medical, communications and networking; Digital imaging and communications in medicine (DICOM). Biomedical, and health informatics; Multimedia e-Health data exchange services. Signal/Data processing and computing for health systems. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v578 606 $aApplication software 606 $aMedical informatics 606 $aArtificial intelligence 606 $aComputer networks 606 $aComputer and Information Systems Applications 606 $aHealth Informatics 606 $aArtificial Intelligence 606 $aComputer Communication Networks 615 0$aApplication software. 615 0$aMedical informatics. 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 14$aComputer and Information Systems Applications. 615 24$aHealth Informatics. 615 24$aArtificial Intelligence. 615 24$aComputer Communication Networks. 676 $a005.3 700 $aCunha$b António$01282008 701 $aPaiva$b Anselmo$01743763 701 $aPereira$b Sandra$01358231 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910869164803321 996 $aWireless Mobile Communication and Healthcare$94171971 997 $aUNINA