Cargando…
Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm
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) and the...
Autores principales: | Lee, Ji Young, Kim, Jong Soo, Kim, Tae Yoon, Kim, Young Soo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689498/ https://www.ncbi.nlm.nih.gov/pubmed/33239711 http://dx.doi.org/10.1038/s41598-020-77441-z |
Ejemplares similares
-
Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging
por: Yeo, Melissa, et al.
Publicado: (2023) -
Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
por: Chung, Seok Won, et al.
Publicado: (2018) -
RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model
por: Kim, Yoon Ji, et al.
Publicado: (2022) -
A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans
por: Wang, Xiyue, et al.
Publicado: (2021) -
Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial
por: Yun, Tae Jin, et al.
Publicado: (2023)