دورية أكاديمية

Adaptive fuzzy weighted median filter for microcalcifications detection in digital breast tomosynthesis images

التفاصيل البيبلوغرافية
العنوان: Adaptive fuzzy weighted median filter for microcalcifications detection in digital breast tomosynthesis images
المؤلفون: Saifudin, Syafiqah Aqilah, Sulaiman, Siti Noraini, Osman, Muhammad Khusairi, Isa, Iza Sazanita, A Karim, Noor Khairiah, Harron, Nur Athiqah
المساهمون: Ministry of Higher Education
المصدر: Indonesian Journal of Electrical Engineering and Computer Science; Vol 34, No 1: April 2024; 197-209 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v34.i1
بيانات النشر: Institute of Advanced Engineering and Science
سنة النشر: 2024
مصطلحات موضوعية: Breast cancer, DBT enhancement, Digital breast tomosynthesis, Fuzzy weighted median filter, Microcalcification detection
الوصف: Breast cancer is a global leading cause of female mortality. Digital breast tomosynthesis (DBT) is pivotal for early breast cancer detection, with microcalcifications serving as crucial indicators. However, the movement of the DBT machine introduces blurry artefacts, potentially impacting accurate diagnosis. This study addresses this challenge by proposing an adaptive fuzzy weighted median filter (AFWMF) to enhance DBT images and aid microcalcification diagnosis. AFWMF automatically determines optimal parameters based on input images, outperforming conventional methods with a threshold range (C) from peak to end of switching. Quantitative assessment reveals peak signal to noise ratio (PSNR), and mean absolute error (MAE) values of 96.2267 and 0.0000636, respectively, demonstrating a significant improvement in microcalcification detection. This study contributes an effective and adaptive enhancement technique for DBT images, promising better breast cancer diagnosis, particularly in microcalcification scenarios.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35654/18118Test; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35654Test
DOI: 10.11591/ijeecs.v34.i1.pp197-209
الإتاحة: https://doi.org/10.11591/ijeecs.v34.i1.pp197-209Test
https://doi.org/10.11591/ijeecs.v34.i1Test
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/35654Test
حقوق: Copyright (c) 2024 Institute of Advanced Engineering and Science ; http://creativecommons.org/licenses/by-nc/4.0Test
رقم الانضمام: edsbas.80A3CF4D
قاعدة البيانات: BASE