A novel glomerular basement membrane segmentation using neutrsophic set and shearlet transform on microscopic images

作者：Yanhui Guo; Amira S. Ashour; Baiqing Sun

来源：Health Information Science and Systems, 2017, 5(1): 15.

DOI：10.1007/s13755-017-0036-7

• Neutrosophic set
• Shearlet transform
• Segmentation
• K-Means clustering
• Renal diseases
• Renal glomerular

Glomerular basement membrane segmentation is an ultimate step in several image processing applications for kidney diseases and abnormalities in microscopic images. However, extracting the glomerular basement membrane (GBM) regions accurately is considered challenging because of the large variants in the microscopic images. The contribution of this work is to propose a computer-aided detection system to provide accurate GBM segmentation.

• 出版日期2017
• 单位UNIVERSITY OF ILLINOIS