Reducing reconstruction error of classified textural patches by integration of random forests and coupled dictionary nonlinear regressors: with applications to super-resolution of abdominal CT images

2021 ◽  
Author(s):  
Mahdieh Akbari ◽  
Amir Hossein Foruzan ◽  
Yen-Wei Chen ◽  
Hongjie Hu
Keyword(s):  
Random Forests ◽  
Super Resolution ◽  
Reconstruction Error ◽  
Ct Images ◽  
Abdominal Ct

An Automatic Grading Method of Liver Cirrhosis from Abdominal CT Images

2021 ◽  
Author(s):  
Xianru Zhang ◽  
Yujie Nie ◽  
Xu Qiao ◽  
Kai Li ◽  
Wei Chen ◽  
...  
Keyword(s):  
Liver Cirrhosis ◽  
Ct Images ◽  
Abdominal Ct ◽  
Automatic Grading

scholarly journals Liver tumour classification using average correction higher order local autocorrelation coefficient and legendre moments

2018 ◽  
Vol 7 (2.6) ◽  
pp. 306
Author(s):  
Aravinda H.L ◽  
M.V Sudhamani
Keyword(s):  
Texture Feature ◽  
Region Growing ◽  
Ct Images ◽  
Higher Order ◽  
Liver Carcinoma ◽  
Tumor Segmentation ◽  
Abdominal Ct ◽  
Simple Linear Iterative Clustering ◽  
Classification Of Tumors ◽  
Legendre Moments

The major reasons for liver carcinoma are cirrhosis and hepatitis.  In order to  identify carcinoma in the liver abdominal CT images are used. From abdominal CT images, segmentation of liver portion using adaptive region growing, tumor segmentation from extracted liver using Simple Linear Iterative Clustering is already implemented. In this paper, classification of tumors as benign or malignant is accomplished using Rough-set classifier based on texture feature extracted using Average Correction Higher Order Local Autocorrelation Coefficients and Legendre moments. Classification accuracy achieved in proposed scheme is 90%. The results obtained are promising and have been compared with existing methods.

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas

2013 ◽  
Author(s):  
Chengwen Chu ◽  
Masahiro Oda ◽  
Takayuki Kitasaka ◽  
Kazunari Misawa ◽  
Michitaka Fujiwara ◽  
...  
Keyword(s):  
Ct Images ◽  
Patient Specific ◽  
Abdominal Ct ◽  
Probabilistic Atlas
Sign in / Sign up

Export Citation Format

Share Document