Can Sequential Images from the Same Object Be Used for Training Machine Learning Models? A Case Study for Detecting Liver Disease by Ultrasound Radiomics

Machine learning for medical imaging not only requires sufficient amounts of data for training and testing but also that the data be independent. It is common to see highly interdependent data whenever there are inherent correlations between observations. This is especially to be expected for sequen...

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Detalles Bibliográficos
Autores principales: Sultan, Laith R., Cary, Theodore W., Al-Hasani, Maryam, Karmacharya, Mrigendra B., Venkatesh, Santosh S., Assenmacher, Charles-Antoine, Radaelli, Enrico, Sehgal, Chandra M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511699/
https://www.ncbi.nlm.nih.gov/pubmed/36168560
http://dx.doi.org/10.3390/ai3030043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511699/
https://www.ncbi.nlm.nih.gov/pubmed/36168560
http://dx.doi.org/10.3390/ai3030043

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