Article

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

2025-03-04

Abstract excerpt

<h4>Background: </h4> Breast cancer is the second leading cause of cancer-related mortality among women, accounting for 12% of cases. Early diagnosis, based on the identifica-tion of radiological features such as masses and microcalcifications in mammograms, is crucial for reducing mortality rates. However, manual interpretation by radiologists is complex and subject to variability, emphasizing the need for automa...

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Literature Corpus work: c1d6ab2a-84bf-5321-9d89-631d77a5ff03
DOI: 10.20944/preprints202503.0184.v1

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