The Application and Advancement of Intelligent Medical Image Analysis in Breast Cancer Diagnosis

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Comprehensive review highlights machine learning's role in improving breast cancer diagnostic accuracy with imaging techniques.

Combining multimodal imaging features boosts diagnostic accuracy, achieving an area under the curve of 0.922.
Machine learning algorithms significantly enhance the intelligent diagnosis of breast cancer from medical images.
The review covers imaging technologies and evaluates strengths and weaknesses of mammography, ultrasound, and MRI.
Future research should focus on improving model generalizability and conducting multi-center clinical validation.

Boya Jiang (2025) studied this question.

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