کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6941283 870171 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling mammographic microcalcification clusters using persistent mereotopology
ترجمه فارسی عنوان
مدل سازی خوشه های میکروکانیکینگ ماموگرافی با استفاده از اتمسفر پایدار
کلمات کلیدی
بیروپولوژی گسسته، مورفولوژی تصویر، تجزیه و تحلیل تصویر ماموگرافی، تجزیه و تحلیل تصویر توپولوژیکی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
In mammographic imaging, the presence of microcalcifications, small deposits of calcium in the breast, is a primary indicator of breast cancer. However, not all microcalcifications are malignant and their distribution within the breast can be used to indicate whether clusters of microcalcifications are benign or malignant. Computer-aided diagnosis (CAD) systems can be employed to help classify such microcalcification clusters. In this paper a novel method for classifying microcalcification clusters is presented by representing discrete mereotopological relations between the individual microcalcifications over a range of scales in the form of a mereotopological barcode. This barcode based representation is able to model complex relations between multiple regions and the results on mammographic microcalcification data shows the effectiveness of this approach. Classification accuracies of 95% and 80% are achieved on the MIAS and DDSM datasets, respectively. These results are comparable to existing state-of-the art methods. This work also demonstrates that mereotopological barcodes could be used to help trained clinicians in their diagnosis by providing a clinical interpretation of barcodes that represent both benign and malignant cases.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 47, 1 October 2014, Pages 157-163
نویسندگان
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