Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning
Abstract Deep learning (DL) is an advanced machine learning approach used in diverse areas such as bioinformatics, image analysis, and natural language processing. Here, using brain magnetic resonance imaging (MRI) data obtained at early stages of infarcts, we attempted to develop a convolutional ne...
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Autores principales: | Jeoung Kun Kim, Yoo Jin Choo, Hyunkwang Shin, Gyu Sang Choi, Min Cheol Chang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/467eca2f6d7b4b8096fc684c24cf11fd |
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