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Automatic tumor detection in ultrasound breast images: a phantom study


Citation

Khatib, Farzan and Mahmud, Rozi and Mashohor, Syamsiah and Saripan, M. Iqbal and Raja Abdullah, Raja Syamsul Azmir (2012) Automatic tumor detection in ultrasound breast images: a phantom study. In: 4th International Conference on Computational Intelligence, Communication Systems & Networks (CICSyN 2012), 24-26 July 2012, Phuket, Thailand. (pp. 427-431).

Abstract / Synopsis

This study is focused on automatic detection of tumors in Ultrasound breast images in order to help medical doctors in interpretation of such images using Computer-Aided Detection. In this way a set of 6 most popular ultrasound machines were selected and images were captured with sweeping: modes of operation, transducer, frequency and contrast. A multi purpose multi tissue Ultrasound Phantom was used to make a complete set of ultrasound images in B-Mode. Pre-processing steps such as gamma corrections, contrast stretching and filtering accompanied by morphological Image Processing were among the steps that were applied to find the final image. All output images were reviewed and marked by two experienced radiologists. Statistical analysis showed a sensitivity of 100% and accuracy of 99% for proposed work. It also showed that the same procedure can be use for cystic and solid breast masses with small changes.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Faculty of Medicine and Health Science
Institute of Advanced Technology
DOI Number: https://doi.org/10.1109/CICSyN.2012.83
Publisher: IEEE
Keywords: Breast cancer; Computer aided detection; Medical image processing; Ultrasound; Ultrasound Phantom
Depositing User: Azian Edawati Zakaria
Date Deposited: 23 Jul 2015 14:47
Last Modified: 29 Sep 2016 13:32
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/CICSyN.2012.83
URI: http://psasir.upm.edu.my/id/eprint/39592
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