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Unfortunately, this accuracy is compromised due to errors introduced by each of the building steps: image acquisition, segmentation, triangulation, printing and infiltration.
A typical activity recognition chain consists of sensor data acquisition, segmentation, feature extraction, and classification.
Each component manages its own internal state and resources, and performs a specific task within the processing chain, like image acquisition, segmentation, motion or face detection, etc.
Thus, data acquisition, segmentation, feature extraction, and classification are completed on the smart objects and wristband for the local sensing modalities.
A systematic QA approach was established to assess the accuracy and precision of each step during the 3D printing process, including: image data acquisition, segmentation and processing, and 3D printing and cleaning.
Following acquisition, segmentation and modeling were done using Amira 5.3.3 (Visualization Science Group, Germany).
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Over the last decade, there have been major advances into the image acquisition and segmentation of bone, muscle, and fat features using computed tomography (CT), magnetic resonance imaging (MRI), and peripheral modules of these systems.
Clinical implementation of IGART requires high levels of automation in image acquisition, registration, segmentation, treatment dose construction, and adaptive planning optimization, which brings new challenges to the conventional QA program.
These operations involve four main steps namely, image acquisition, iris segmentation, normalization, feature extraction, and matching [7].
For instance, lighting changes can have an impact on the parametrization of the acquisition and segmentation components of the processing chain.
More work is needed to assess the use of the residual volume in soft tissues and the contrast-enhanced blood pool and to similarly establish the impact of varying the image acquisition and segmentation parameters.
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