دورية أكاديمية
Adaptive fuzzy weighted median filter for microcalcifications detection in digital breast tomosynthesis images
العنوان: | Adaptive fuzzy weighted median filter for microcalcifications detection in digital breast tomosynthesis images |
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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 |
DOI: | 10.11591/ijeecs.v34.i1.pp197-209 |
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