relation: https://digilib.uin-suka.ac.id/id/eprint/19346/
title: COMPARISON BETWEEN AUTOMATIC AND SEMIAUTOMATIC THRESHOLDING METHOD FOR MAMMOGRAPHIC DENSITY CLASSIFICATION
creator: SHOFWATUL ‘UYUN, DKK
subject: Sains
description: Mammographic density is a novel independent risk factor of breast cancer that reflects  the amount of fibroglandular tissue. Breast Imaging Reporting and Data System (BIRADS) density  is one of the mammographic density classification schemes which are most widely used by  radiologists. Initially, the method used for assessing mammographic density was subjective and  qualitative. Recently however, the measurement of mammographic density is more objective and  quantitative. In this paper, we propose an alternative model of breast cancer risk factor assessment  based on a quantitative approach of density mammogram. This model consists of pre-processing,  breast area counting, fibroglandular tissue area counting that uses maximum entropy and multilevel  thresholds, and finally breast density counting to determine the risk classification of breast cancer.  The proposed model has been tested on a private database from Oncology Clinic Kotabaru,  Yogyakarta, Indonesia consisting of 30 mammograms and has been analyzed by some radiologists  using the semiautomatic threshold. The result shows that percentage of mammographic density  counted by maximum entropy threshold method has the accuracy, sensitivity and specificity of  about 67%, 50% and 75% respectively compared to the semiautomatic thresholding method. On the  other hand, the accuracy, sensitivity and specificity resulted from using multilevel threshold is  about 93%, 87% and 95% respectively. The obtained results suggest that multilevel threshold is  perfectly suited for getting quantitative measurement of mammographic density as one of the  strongest risk factors for breast cancer.
publisher: www.ttp.net.
date: 2014-02-19
type: Article
type: PeerReviewed
format: text
language: en
identifier: https://digilib.uin-suka.ac.id/id/eprint/19346/1/SHOFWATUL%20%E2%80%98UYUN%2C%20DKK%20-%20COMPARISON%20BETWEEN%20AUTOMATIC%20AND%20SEMIAUTOMATIC%20THRESHOLDING%20METHOD%20FOR%20MAMMOGRAPHIC%20DENSITY%20CLASSIFICATION.pdf
identifier:   SHOFWATUL ‘UYUN, DKK  (2014) COMPARISON BETWEEN AUTOMATIC AND SEMIAUTOMATIC THRESHOLDING METHOD FOR MAMMOGRAPHIC DENSITY CLASSIFICATION.  Advanced Materials Research, Vol. 8.  pp. 672-675.