細胞生物学: 研究と治療

Convolutional Neural Network Based Classification of Benign and Malignant Tumors from Breast Ultrasound Images

Telagarapu Prabhakar*1 , Geetamma Tummalapalli2 , Lakshmidevi N3 1,2Dept. of ECE, GMR Institute of Technology, Rajam, Srikakulam District, Andhra Pradesh, India. 3 Dept. of CSE, GMR Institute of Technology, Rajam, Srikakulam District, Andhra Pradesh, India.

The widely used method for diagnosing the breast cancer is a Breast ultrasound (BUS) imaging, but the interpretation

will be vary based upon the experience of radiologist. Now a days CAD systems are available to provide the information

regarding BUS image classification. However, most of the CAD systems was based upon handcrafted features. Which

are designed for classifying the tumors. Therefore, the capability of these features will decide the CAD system accuracy which is used for classifying the tumors as benign and malignant. With the use of Convolutional Neural Network

(CNN) technology, we can improve the classification of BUS images.

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