Abnormal Tissue Detection of Breast Ultrasound Image using Combination of Morphological Technique

نویسندگان

  • EKO SUPRIYANTO
  • BUSTANUR ROSIDI
چکیده

Breast cancer is the most common killer in women worldwide, which is originating from breast tissue. Early detection of breast cancer plays an important role in its therapy. Existing breast cancer detection method like ultrasound imaging can not be used at all ages, also quality of obtained images affected by speckle noise. Thus, it is essential to introduce new method to overcome these problems.This paper proposes an approach of detecting abnormal tissue in ultrasound breast image. The objective is to detect the abnormal tissue such as cyst or tumor inside breast tissues using image segmentation and combination of morphological technique. Image was processed using threshold segmentation method followed by dilation and erosion. The region of abnormalities tissue were found and has been differentiating from other tissue through several step of method applied. Besides, the same method was applied to the other different type of breast abnormalities tissue and the necessary result was obtained. The finding results show that this method can be used for early detection of breast cancer since it can detect several types of abnormalities in breast tissues. Keywords—Breast Cancer, Tumor, Image Segmentation, Thresholding, Ultrasound Breast, Morphological

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بررسی امکان تشخیص اتوماتیک میکروکلسیم های بافت پستان با استفاده از تکنیک دو انرژی تصویربرداری اشعه ایکس جهت تشخیص زودرس سرطان پستان

Background and purpose: Dual-energy mammography technique is used for improving the accuracy of breast cancer diagnosis especially in dense breast cases and also detection of micro-calcifications which are early signs of breast cancer. The purpose of this study was to investigate the automatic separation feasibility of micro-calcification images in breast tissue images and evaluating its accura...

متن کامل

Breast abnormalities segmentation using the wavelet transform coefficients aggregation

Introduction: Breast cancer is the most common cancer among women in the world. The automatic detection of masses in digital mammograms is a challenging task and a major step in the development of breast cancer CAD systems. In this study, we introduce a new method for automatic detection of suspicious mass candidate (SMC) regions in a mammogram. Methods: Mammography is widely used for the early...

متن کامل

Improvement of Breast Cancer Detection Using Non-subsampled Contourlet Transform and Super-Resolution Technique in Mammographic Images

Introduction Breast cancer is one of the most life-threatening conditions among women. Early detection of this disease is the only way to reduce the associated mortality rate. Mammography is a standard method for the early detection of breast cancer. Today, considering the importance of breast cancer detection, computer-aided detection techniques have been employed to increase the quality of ma...

متن کامل

The Combinational Use Of Knowledge-Based Methods and Morphological Image Processing in Color Image Face Detection

The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. Inaddition, to do face...

متن کامل

Morphological Exudate Detection in Retinal Images using PCA-based Optic Disc Removal

Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, a multistage algorithm for the detection of exudate in foreground is proposed. The algorithm se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011