Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration.

The exploration of tumour size categories revealed a highly significant variance in malignancy probability, with the most notable contrast emerging between the initial size category (tumours measuring 10 mm or less) and the subsequent size intervals.

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