Enhancement in medical image processing for breast calcifications and tumor detection

Derakhshan-Barjoei, P. and Bahadorzadeh, M. (2012) Enhancement in medical image processing for breast calcifications and tumor detection. Research Journal of Applied Sciences, Engineering and Technology, 4 (12). pp. 1696-1700.

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Xray image processing is a computerized system which enhances the amount of detail visible on a digitalized x-ray image. The effect of this technique in the diagnoses of breast cancer, where the detection of early malignant tumors is essential for effective treatment, is reviewed in this study. The mammograms, as normally viewed, display a small percentage of the information they detect and that is due to the minor difference in x-ray attenuation between normal glandular tissues and malignant disease. This makes the detection of small malignancies difficult. The digital medical image processing uses denoising and image enhancement techniques so as to reveal any tumors that may not be obvious and help the oncologist decide. The idea is to transform the data into the wavelet basis, in which the large coefficients are mainly the signal and the smaller ones represent the noise. By suitably modifying these coefficients, the noise can be removed from the data. In this study we employ wavelet method of image enhancement and the conclusion would be satisfied. © Maxwell Scientific Organization, 2012.

Item Type: Article
Additional Information: cited By 1
Uncontrolled Keywords: Breast calcifications; Breast Cancer; Computerized systems; De-noising; Enhancement techniques; Glandular tissue; Malignant disease; Malignant tumors; Mammogram; Micrcoalcification; Tumor detection; Wavelet; Wavelet basis; Wavelet methods; X-ray attenuation; X-ray image; X-ray image processing, Biomineralization; Diagnosis; Image enhancement; Mammography; Medical image processing; Tumors; Wavelet transforms; X ray screens, Calcification (biochemistry)
Subjects: Medicine
Divisions: Faculty of Medicine > Clinical Sciences > Department of Surgery
Depositing User: editor . 2
Date Deposited: 28 Feb 2017 16:10
Last Modified: 28 Feb 2017 16:10
URI: http://eprints.kaums.ac.ir/id/eprint/777

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