کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6902322 | 1446500 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Computer Aided Segmentation of Breast Ultrasound Images Using Scale Invariant Feature Transform (SIFT) and Bag Of Features
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Computer Aided Segmentation of Breast Ultrasound Images Using Scale Invariant Feature Transform (SIFT) and Bag Of Features Computer Aided Segmentation of Breast Ultrasound Images Using Scale Invariant Feature Transform (SIFT) and Bag Of Features](/preview/png/6902322.png)
چکیده انگلیسی
Automatic and precise segmentation of breast ultrasound (BUS) image is a challenging task. The proposed method successfully implemented a segmentation algorithm by region growing from a seed point based on texture features generated by Gray Level Co-occurrence Matrix (GLCM). The seed points generated by canny edge detection and wavelet modulus maxima methods are refined by Support Vector Machine (SVM) trained by Scale Invariant Feature Transform (SIFT). The segmented images are compared with ground truth images and True Positive Rate (TPR) of 90.1% and average SI (Similarity Index) of 0.85 demonstrates that the proposed method can segment the tumor regions efficiently and accurately.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 115, 2017, Pages 518-525
Journal: Procedia Computer Science - Volume 115, 2017, Pages 518-525
نویسندگان
T.P. Shiji, S. Remya, Vinu Thomas,