کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4960762 1446502 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enhanced 3D segmentation techniques for reconstructed 3D medical volumes: Robust and Accurate Intelligent System
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Enhanced 3D segmentation techniques for reconstructed 3D medical volumes: Robust and Accurate Intelligent System
چکیده انگلیسی

Medical images play an important role in treating a large number of ailments as they are integral and even indispensable to the diagnosis process of such ailments. Medical images come from different acquisition systems (such as PET, CT, MRI) and, in many situations, automated processing of these images can greatly aid physicians and make their jobs easier. In medical imaging and its applications, 2D segmentation (with its different approaches such as FCM, k-means, MRFM and NN) is the first step which is used to extract ROI. This helps in extracting ROI in each slice (2D medical image) separately regardless of its relation to the next and the previous slices. In this paper, a 3D model of FCM segmentation techniques is proposed to enhance the segmentation process and take in mind the overall 3D-Volume as one testing data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 113, 2017, Pages 531-538
نویسندگان
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