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

Akbari, M; Foruzan, AH; Chen, YW; Hu, HJ

Foruzan, AH (corresponding author), Shahed Univ, Dept Biomed Engn, Persian Gulf Highway, Tehran 3319118651, Iran.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2021; 16 (9): 1469

Abstract

Purpose Random forests and dictionary-based statistical regressions have common characteristics, including non-linear mapping and supervised learning.......

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