<ul><li>An artificial intelligence tool has been developed to aid in identifying breast cancer types using biopsy images.</li><li>The tool utilizes a convolutional neural network to distinguish between benign and malignant tissues and accurately subclassify breast cancer types.</li><li>By preprocessing images to reduce noise and enhance features, the model achieves reliable classification performance, outperforming existing solutions.</li><li>The study highlights the potential of deep learning techniques in clinical diagnostics and presents a promising tool for assisting pathologists in breast cancer classification.</li></ul>

An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images

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