The most common illness affecting women is breast cancer. To raise survival rates and decrease the abovementioned dangers, which have gradually grown in recent years on account of more advanced computer-aideddiagnosis (CAD) systems, early detection and treatment are essential. CAD systems are crucial for lowering subjectivity and enhancing expert assessments through detection and identification. Both steady feature extraction and then the classification rate are attained by this technique. Many of the procedures for detecting and classifying breast cancer are currently being worked on. This procedure's primary goals are to identify the tumour location and boost classification and segmentation precision.

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