Volume( 3) - Issue( 1) 2016 pp 1-5 DOI: 0

Classification of Cervical Cancer Using Ultrasound Images

Title

Classification of Cervical Cancer Using Ultrasound Images

Abstract

Cervical cancer is one of the most common malignant gynaecological tumours which cause a serious threat to women health. Different medical imaging techniques are using to detect various cancers. Here proposed the ultrasound images of uterus is pre-processed and to detect the cancer. In this method cancer can be successfully identified and thereby help the doctors for analysing the size and exact location of cancer. The present’s development of ultrasound system is used for early detection of uterine cancer. The proposed ultrasound system support different texture feature standardization, detection and classification. In classification, the uterine cancer is divided into three stages. 1) Normal 2) Pre-cancer 3) Cancer after accounting for multiple comparisons, texture features extracted from abnormal ROIs Compared to texture features extracted from normal ROIs. The abnormal ROIs were characterized by intensity, abnormality, and detected ratio.

Keywords

canny, ultrasound, MIC, pre-process, pixel

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