8th International Conference on Advancements of Medicine and Health Care Through Technology
Springer International Publishing (Verlag)
978-3-031-51119-6 (ISBN)
Hepatocellular Carcinoma Recognition from Ultrasound Images Through Convolutional Neural Networks and Their Combinations.- Detecting Polyps in Endoscopic Images with U-net Based Architectures - A Preliminary Evaluation.- U-net Network Optimization for 3d Reconstruction in Robotic Sils Pre-planning Phase.- Classification of Hemorrhagic Stroke Lesions Based on Ct Images and Machine Learning Algorithms. A Study on a Highly Imbalanced Dataset.- Medical Image Data Cleansing for Machine Learning: A Must in the Evidence-based Medicine?.- Classification of Liver Abnormality in Ultrasonic Images Using Hilbert Transform Based Feature.- Cataract Diagnosis Using Convolutional Neural Networks Classifiers. A Preliminary Study.- Comparison Between Different Methods of Segmentation in Dental Image Processing.- Assisted Assessment of Visual Stress - Method to Prevent and Reduce the Risk of Visual Function Loss.- Influence of the Conventional and Planar Yagi Uda Antenna on Human Tissues.- Air Quality Monitoring in a Home Using a Low-cost Device Built Around the Arduino Mega 2560 Platform.- BE-AI: A Beaconized Platform with Machine Learning Capabilities.- Ehealth Mobile Application Using Fitbit Smartwatch.- Experimental Research upon Neutralisation with Ozone of Chemical and Microbiological Pollutants from Sewage Wastewater.- Integrating Iot in Educational Engineering Application Development - an Emerging Paradigm.
Erscheinungsdatum | 10.01.2024 |
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Reihe/Serie | IFMBE Proceedings |
Zusatzinfo | XV, 256 p. 141 illus., 127 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 466 g |
Themenwelt | Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie |
Technik | |
Schlagworte | Air Quality Monitoring System • Biosignal Analysis and Processing • ECG Classification • Health monitoring systems • IoT in Engineering Education • Low-cost Medical Devices • Machine Learning for Wearable Devices • Machine Learning in Medical Data Analysis • Medical image classification • Medical image segmentation • Microbiological Pollutants Detection • Mobile Health Application • Neural Networks for Medical Diagnosis • Robotic Assisted Surgery • SNIMTB • social media in education • Visual Function Assessment |
ISBN-10 | 3-031-51119-0 / 3031511190 |
ISBN-13 | 978-3-031-51119-6 / 9783031511196 |
Zustand | Neuware |
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