Özet:

Breast cancer is one of the most common types of cancer among women. As with other types of cancer, early diagnosis is important in the treatment of breast cancer patients. Recently, artificial intelligence has made its name in many fields. In the field of health, artificial intelligence has started to be used as a technological infrastructure in diagnosis and treatment processes. In this study, an artificial intelligence-based approach that can diagnose breast cancer using ultrasound-based images is proposed. The proposed approach consists of pre-trained convolutional neural networks. A new fully connected layer is added to the last layer of each convolutional neural network. The feature that distinguishes the fully connected layer from the previous fully connected layers is that it gives as many features as the number of input types. Then, the classification process was carried out by combining the fully connected layers of the convolutional neural networks. In this study, a triple classification process was carried out as benign, malignant and normal. As a result of the experimental analysis, 99.57% overall accuracy was achieved with the proposed approach. The proposed approach outperformed the convolutional neural network models used in the experiment.

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