AI in Mammography: Precision in Shape and Margin Classification
Early and accurate detection remains the cornerstone of effective breast cancer diagnosis. In mammography, subtle differences in lesion shape (round, oval, irregular) and margins (circumscribed, obscured, spiculated) provide critical clues for identifying potential malignancies. As artificial intelligence continues to transform medical imaging, the reliability of AI models depends heavily on the quality of image annotation …
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