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

Amira S AshourAmira S AshourBaiqing Sun

Published in: Health information science and systems (2017)

The new method utilizing the shearlet features and neutrosophic set improved the accuracy of GBM segmentation. Further study is underway to improve an automated CAD system using the refined segmentation results.

Keyphrases

convolutional neural network
deep learning
coronary artery disease
machine learning
optical coherence tomography
high glucose