Comparative Evaluation of Machine Learning-Based Radiomics and Deep Learning for Breast Lesion Classification in Mammography

Comparative Evaluation of Machine Learning-Based Radiomics and Deep Learning for Breast Lesion Classification in Mammography

<b>Background:</b> Breast cancer is the second leading cause of cancer-related mortality among women, accounting for 12% of cases. Early diagnosis, based on the identification of radiological features, such as masses and microcalcifications in mammograms, is crucial for reducing mortalit...

Full description

Saved in:
Bibliographic Details
Main Authors: Alessandro Stefano, Fabiano Bini, Eleonora Giovagnoli, Mariangela Dimarco, Nicolò Lauciello, Daniela Narbonese, Giovanni Pasini, Franco Marinozzi, Giorgio Russo, Ildebrando D’Angelo
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
mammography
radiomics
deep learning
automated diagnostic systems
breast lesion classification
Online Access:https://www.mdpi.com/2075-4418/15/8/953
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-4418/15/8/953

Similar Items