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The assessment of embryos in vitro is an important tool both in In Vitro Fertilization (IVF) treatment and for research purposes. Traditionally, such assessment has been done manually and demands extensive training and expertise. Interobserver variability limits the use of evaluation, and the manual labor increases the cost of treatment and research. To this end, feature extraction and automatic annotation...
The presence of involuntary muscle twitches is a diagnostic indicator of neurodegenerative diseases, such as motor neurone disease (MND), but current methods of twitch detection are invasive and pose potential risks to patients. We present a method by which standard B-mode ultrasound can be used to automatically identify muscle twitches similar to those found in patients with MND. The results of initial...
The aim of this paper is to track objects during their use by humans. The task is difficult because these objects are small, fast-moving and often occluded by the user. We present a novel solution based on cascade action recognition, a learned mapping between body-and object-poses, and a hierarchical extension of importance sampling. During tracking, body pose estimates from a Kinect sensor are classified...
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