Machine learning algorithms are significantly enhancing breast cancer pathology by improving the accuracy of diagnoses. By analyzing large datasets of mammograms and biopsy images, these algorithms can identify patterns and signs of breast cancer more accurately than the human eye, reducing the chances of false positives and negatives. This leads to earlier and more reliable cancer detection.
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