14 papers
Masked complex non-decimated wavelet features for patient-level classification of contrast-enhanced mammography
Sara Antonijevic, Brani Vidakovic
Contrast-enhanced spectral mammography (CESM) acquires two images of each breast, a low-energy image and a recombined contrast image, but two questions central to building a classi…
Quaternion Nondecimated Wavelet Descriptors for Multiclass Breast Histology Classification
Sara Antonijevic, Brani Vidakovic
Breast histology images carry diagnostic information in color, texture, orientation, and tissue architecture across a range of scales. In H&E microscopy this information is inheren…
Machine Learning Integrated in Wavelet Shrinkage (MLShrink)
Dixon Vimalajeewa, Vijini Lakmini, Brani Vidakovic
Data encountered in practice are frequently contaminated by additive noise, and wavelet shrinkage remains a fundamental tool for recovering underlying signals in nonparametric esti…
SCOPE Shrinkage: A Unified Framework for Wavelet Denoising
Dixon Vimalajeewa, Vijini Lakmini, Malith Premarathna +2
We introduce Symmetric CDF Oriented Probability Enhanced (SCOPE) shrinkage, a unified family of sign-preserving shrinkage rules constructed from centered cumulative distribution fu…
Bayesian Inference for Incomplete 2x2 Diagnostic Tables
Sara Antonijevic, Danielle Sitalo, Brani Vidakovic
Incomplete reporting of diagnostic accuracy data remains a persistent problem in medical research. In many studies, only part of the 2x2 diagnostic table is reported, leaving denom…
Composite Wavelet Matrix-Based Transforms and Applications
Radhika Kulkarni, Brani Vidakovic
Orthogonal wavelet transforms are a cornerstone of modern signal and image denoising because they combine multiscale representation, energy preservation, and perfect reconstruction…