Breast Cancer Detection Using Deep Learning Technique

Sachin A Urabinahatti, D. Jayadevappa
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Abstract

One of the harmful types of cancer that can affect females is breast cancer. With the aid of images of the microscopic structure, breast cancer can be identified. This study uses mammography images to categorize various types of breast cancer. Image processing techniques can be used successfully in the classification of mammography images. Deep learning provides wonderful performance for the classification of images in many applications among various image processing algorithms. Convolutional neural network (CNN) designs like VGG19, Inception-Net, ResNet50, and others are used in effective classification.
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利用深度学习技术检测乳腺癌
乳腺癌是影响女性的一种有害癌症。借助显微结构图像,可以识别乳腺癌。本研究使用乳房x线摄影图像对不同类型的乳腺癌进行分类。图像处理技术可以成功地用于乳房x线摄影图像的分类。在各种图像处理算法中,深度学习在许多应用中为图像分类提供了出色的性能。卷积神经网络(CNN)设计如VGG19、Inception-Net、ResNet50等被用于有效分类。
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