Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning

In this paper, we address the problem of identifying brain haemorrhage which is considered as a tedious task for radiologists, especially in the early stages of the haemorrhage. The problem is solved using a deep learning approach where a convolutional neural network (CNN), the well-known AlexNet ne...

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Detalles Bibliográficos
Autores principales: Dawud, Awwal Muhammad, Yurtkan, Kamil, Oztoprak, Huseyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589279/
https://www.ncbi.nlm.nih.gov/pubmed/31281335
http://dx.doi.org/10.1155/2019/4629859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589279/
https://www.ncbi.nlm.nih.gov/pubmed/31281335
http://dx.doi.org/10.1155/2019/4629859

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