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This is a Literature Review study (also classified as: Observational).

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

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Integrating multimodal imaging with machine learning algorithms significantly improves diagnostic accuracy.
Results showed an area under the curve (AUC) of 0.922, indicating high effectiveness in classification.
The study uses clinical cases and publicly available datasets to assess the performance of imaging modalities.
Future work should enhance model generalizability through multi-center clinical validation efforts.

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Comprehensive review highlights improved diagnostic accuracy using machine learning in breast cancer imaging.

Boya Jiang (2025) studied this question.

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