Advance on curvelet application to prostate cancer tissue image classification
Wen-Chyi Lin, Ching-Chung Li, Jonathan I. Epstein, Robert W. Veltri · 2017
The approach of multi-resolution curvelet transform has been applied in our study of computer-aided classification of four critical Gleason patterns in prostate histological images. In the current study, we consider the maximum curvelet coefficients for the texture feature extraction to obtain more discriminative capability. A two-level classifier is re-designed, its excellent performance has been demonstrated.