Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm

Abstract A novel deep-learning algorithm for artificial neural networks (ANNs), completely different from the back-propagation method, was developed in a previous study. The purpose of this study was to assess the feasibility of using the algorithm for the detection of intracranial haemorrhage (ICH)...

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Autores principales: Ji Young Lee, Jong Soo Kim, Tae Yoon Kim, Young Soo Kim
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/0229c92f472942f5af0fe4ede49c86a9
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