کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6484157 1416073 2018 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparative assessment of texture features for the identification of cancer in ultrasound images: a review
ترجمه فارسی عنوان
بررسی مقایسه ای از ویژگی های بافت برای شناسایی سرطان در تصاویر اولتراسوند: یک بررسی
کلمات کلیدی
سرطان، سونوگرافی، تجزیه و تحلیل بافت، تشخیص کامپیوتری،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
In this paper, we review the use of texture features for cancer detection in Ultrasound (US) images of breast, prostate, thyroid, ovaries and liver for Computer Aided Diagnosis (CAD) systems. This paper shows that texture features are a valuable tool to extract diagnostically relevant information from US images. This information helps practitioners to discriminate normal from abnormal tissues. A drawback of some classes of texture features comes from their sensitivity to both changes in image resolution and grayscale levels. These limitations pose a considerable challenge to CAD systems, because the information content of a specific texture feature depends on the US imaging system and its setup. Our review shows that single classes of texture features are insufficient, if considered alone, to create robust CAD systems, which can help to solve practical problems, such as cancer screening. Therefore, we recommend that the CAD system design involves testing a wide range of texture features along with features obtained with other image processing methods. Having such a competitive testing phase helps the designer to select the best feature combination for a particular problem. This approach will lead to practical US based cancer detection systems which deliver real benefits to patients by improving the diagnosis accuracy while reducing health care cost.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biocybernetics and Biomedical Engineering - Volume 38, Issue 2, 2018, Pages 275-296
نویسندگان
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