Automatic tumor detection in ultrasound breast images: a phantom study
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...
Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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IEEE
2012
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Online Access: | http://psasir.upm.edu.my/id/eprint/39592/1/Automatic%20tumor%20detection%20in%20ultrasound%20breast%20images%20a%20phantom%20study.pdf |
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author | Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir |
author_facet | Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir |
author_sort | Khatib, Farzan |
collection | UPM |
description | 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. |
first_indexed | 2024-03-06T08:44:34Z |
format | Conference or Workshop Item |
id | upm.eprints-39592 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T08:44:34Z |
publishDate | 2012 |
publisher | IEEE |
record_format | dspace |
spelling | upm.eprints-395922016-09-29T05:32:15Z http://psasir.upm.edu.my/id/eprint/39592/ Automatic tumor detection in ultrasound breast images: a phantom study Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir 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. IEEE 2012 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39592/1/Automatic%20tumor%20detection%20in%20ultrasound%20breast%20images%20a%20phantom%20study.pdf 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). 10.1109/CICSyN.2012.83 |
spellingShingle | Khatib, Farzan Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal Raja Abdullah, Raja Syamsul Azmir Automatic tumor detection in ultrasound breast images: a phantom study |
title | Automatic tumor detection in ultrasound breast images: a phantom study |
title_full | Automatic tumor detection in ultrasound breast images: a phantom study |
title_fullStr | Automatic tumor detection in ultrasound breast images: a phantom study |
title_full_unstemmed | Automatic tumor detection in ultrasound breast images: a phantom study |
title_short | Automatic tumor detection in ultrasound breast images: a phantom study |
title_sort | automatic tumor detection in ultrasound breast images a phantom study |
url | http://psasir.upm.edu.my/id/eprint/39592/1/Automatic%20tumor%20detection%20in%20ultrasound%20breast%20images%20a%20phantom%20study.pdf |
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