Titlebook: Wireless Mobile Communication and Healthcare; 12th EAI Internation António Cunha,Anselmo Paiva,Sandra Pereira Conference proceedings 2024 I

paltry

Evanescent Wave Filtering for?Ultrasound RF-Data Compressionality for diagnostic ultrasound imaging. However, the vast amount of data generated by these methods can be challenging to process and store. To address this issue, various compression techniques have been developed. In this work, we propose a compression method based on a physical approach utilizin

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侵蝕

Optimising Wheelchair Path Planningng a variable number of obstacles. The positions and quantities of these obstacles are pre-determined. To tackle this challenge, we present a methodology that integrates optimisation techniques and heuristic algorithms to find trajectories both optimal and collision-free. The effectiveness of this m

Sad570

: An Ontology-Based Chatbot for?Family Caregivers of?People with?Dementia of PwD correctly and are confronted with the challenging behavior of their relatives. Although support services for family caregivers are widespread in Germany, they are rarely used due to the fact that information is poorly organized and relatives are faced with a flood of disorganized, outdated,

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A Cascade Approach for?Automatic Segmentation of?Coronary Arteries Calcification in?Computed Tomogranologies such as deep learning have been used to help identify these indicators. This work proposes a segmentation method for calcification of the coronary arteries that has three steps: (1) extraction of the ROI using U-Net with batch normalization after convolution layers, (2) segmentation of the

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吸引人的花招

Panther

Eff-Unet for?Trachea Segmentation on?CT Scansd the surrounding healthy tissues while precisely directing radiation to target cancer cells. Currently, this task needs manual intervention by physicians, a process that can be time-consuming and susceptible to errors. Consequently, the integration of automatic segmentation methods offers the poten

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daredevil