Detection of fasciculation plays a significant role in the early diagnosis of amyotrophic lateral sclerosis (ALS). Although ultrasound (US) has been reported to be superior to needle electromyography (EMG) and visual inspection in terms of detection rates, other similar movements could lower the reliability of the result. Artificial intelligence, such as deep learning, promises to enhance the classification of visual data.
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Deep learning for identification of fasciculation from muscle ultrasound images
Semantic Scholar · Medicine · 2019
Abstract
Detection of fasciculation plays a significant role in the early diagnosis of amyotrophic lateral sclerosis (ALS). Although ultrasound (US) has been reported to be superior to needle electromyography (EMG) and visual inspection in terms of detection rates, other similar movements could lower the reliability of the result. Artificial intelligence, such as deep learning, promises to enhance the classification of visual data.