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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |