Image Correction Methods for Regions of Interest in Liver Cirrhosis Classification on CNNs

The average error rate in liver cirrhosis classification on B-mode ultrasound images using the traditional pattern recognition approach is still too high. In order to improve the liver cirrhosis classification performance, image correction methods and a convolution neural network (CNN) approach are...

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Detalles Bibliográficos
Autores principales: Mitani, Yoshihiro, Fisher, Robert B., Fujita, Yusuke, Hamamoto, Yoshihiko, Sakaida, Isao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105852/
https://www.ncbi.nlm.nih.gov/pubmed/35591069
http://dx.doi.org/10.3390/s22093378

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105852/
https://www.ncbi.nlm.nih.gov/pubmed/35591069
http://dx.doi.org/10.3390/s22093378

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