کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381509 | 1437505 | 2007 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The usage of soft-computing methodologies in interpreting capsule endoscopy
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Computerised processing of medical images can ease the search of the representative features in the images. The endoscopic images possess rich information expressed by texture and regions affected by diseases, such as ulcer or coli, may have different texture features. In this paper schemes have been developed to extract features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images acquired by the M2A Swallowable Imaging Capsule. The implementation of neural network schemes and the concept of fusion of multiple classifiers have been also adopted in this paper. The preliminary test results support the feasibility of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 20, Issue 4, June 2007, Pages 539–553
Journal: Engineering Applications of Artificial Intelligence - Volume 20, Issue 4, June 2007, Pages 539–553
نویسندگان
V.S. Kodogiannis, M. Boulougoura, E. Wadge, J.N. Lygouras,