Abstract
Abstract: Breast cancer is a significant health issue affecting women worldwide, emphasizing the importance of early detection and accurate tumor classification. This research paper proposes a neural network-based breast cancer classification model. The dataset is collected, preprocessed, and used to train the neural network model. The performance of the model is evaluated, and its potential application in clinical settings is discussed. The results demonstrate the model's effectiveness in accurately classifying breast cancer tumors.
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