کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10351478 | 864471 | 2013 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Object information based interactive segmentation for fatty tissue extraction
ترجمه فارسی عنوان
تقسیم بندی تعاملی مبتنی بر اطلاعات شیء برای استخراج بافت چربی
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کلمات کلیدی
بافت چربی، سرطان معده، تقسیم تصویری تعاملی، اطلاعات شیء، تغییرات متوسط،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Lymph nodes are very important factors for diagnosing gastric cancer in clinical use, and are usually distributed within the fatty tissue around the stomach. When extracting fatty tissues whose structures and textures are complicated, automatic extraction is still a challenging task, while manual extraction is time-consuming. Consequently, semi-automatic extraction, which allows introducing interactive operations, appears to be more realistic. Currently, most interactive methods need to indicate the position and main features in both the object and background. However, it is easier for radiologists to only mark object information. Due to this issue, a new Object Information based Interactive Segmentation (OIIS) method is proposed in this paper. Different from the most existing methods, OIIS just needs to input the object information, while the background information is not required. Experimental results and comparative studies show that OIIS is effective for fatty tissue extraction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 43, Issue 10, 1 October 2013, Pages 1462-1470
Journal: Computers in Biology and Medicine - Volume 43, Issue 10, 1 October 2013, Pages 1462-1470
نویسندگان
Zhi-Guo Zhou, Fang Liu, Li-Cheng Jiao, Ling-Ling Li, Xiao-Dong Wang, Shui-Ping Gou, Shuang Wang,