کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
504501 | 864310 | 2008 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Size-invariant descriptors for detecting regions of abnormal growth in cervical vertebrae
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Size-invariant descriptors for detecting regions of abnormal growth in cervical vertebrae Size-invariant descriptors for detecting regions of abnormal growth in cervical vertebrae](/preview/png/504501.png)
چکیده انگلیسی
Digitized spinal X-ray images exhibiting specific pathological conditions such as osteophytes can be retrieved from large databases using Content Based Image Retrieval (CBIR) techniques. For efficient image retrieval, it is important that the pathological features of interest be detected with high accuracy. In this study, new size-invariant features were investigated for the detection of anterior osteophytes, including claw and traction in cervical vertebrae. Using a K-means clustering and nearest neighbor classification approach, average correct classification rates of 85.80%, 86.04% and 84.44% were obtained for claw, traction and anterior osteophytes, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computerized Medical Imaging and Graphics - Volume 32, Issue 1, January 2008, Pages 44–52
Journal: Computerized Medical Imaging and Graphics - Volume 32, Issue 1, January 2008, Pages 44–52
نویسندگان
R. Joe Stanley, Sameer Antani, Rodney Long, George Thoma, Kapil Gupta, Mohammed Das,