Ensemble Learning for Breast Cancer Lesion Classification: A Pilot Validation Using Correlated Spectroscopic Imaging and Diffusion-Weighted Imaging

The main objective of this work was to evaluate the application of individual and ensemble machine learning models to classify malignant and benign breast masses using features from two-dimensional (2D) correlated spectroscopy spectra extracted from five-dimensional echo-planar correlated spectrosco...

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Detalles Bibliográficos
Autores principales: Joy, Ajin, Lin, Marlene, Joines, Melissa, Saucedo, Andres, Lee-Felker, Stephanie, Baker, Jennifer, Chien, Aichi, Emir, Uzay, Macey, Paul M., Thomas, M. Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385820/
https://www.ncbi.nlm.nih.gov/pubmed/37512542
http://dx.doi.org/10.3390/metabo13070835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385820/
https://www.ncbi.nlm.nih.gov/pubmed/37512542
http://dx.doi.org/10.3390/metabo13070835

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