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GI-SleepNet: A Highly Versatile Image-based Sleep Classification using a Deep Learning Algorithm

2021-06-10

Abstract excerpt

<title>Abstract</title> <p>Sleep-stage classification is essential for sleep research. Various automatic judgment programs including deep learning algorithms using artificial intelligence (AI) have been developed, but with limitations in data format compatibility, human interpretability, cost, and technical requirements. We developed a novel program called GI-SleepNet, generative adversarial network (GAN)-assiste...

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Literature Corpus work
d0255d58-ea55-5ca0-ab66-b5fa7ca0fdff
DOI
10.21203/rs.3.rs-586116/v1
Open publication

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GI-SleepNet: A Highly Versatile Image-based Sleep Classification using a Deep Learning AlgorithmDOI 10.21203/rs.3.rs-586116/v1
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