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Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features

Author(s): Chen G; Krzyzak A;

In this paper, we propose a novel method for 2D pattern recognition by extracting features with the log-polar transform, the dual-tree complex wavelet transform (DTCWT), and the 2D fast Fourier transform (FFT2). Our new method is invariant to translation, rotation, and scaling of the input 2D pattern images in a multiresolution way, which is very importan ...

Article GUID: 37112182


Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data

Author(s): Shamshiri MA; Krzyzak A; Kowal M; Korbicz J;

Microscopic analysis of breast cancer images is the primary task in diagnosing cancer malignancy. Recent attempts to automate this task have employed deep learning models whose success has depended on large volumes of data, while acquiring annotated data in biomedical domains is time-consuming and may not always be feasible. A typical strategy to address ...

Article GUID: 36758326


Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.

Author(s): Yousefi M, Krzyzak A, Suen CY

Comput Biol Med. 2018 05 01;96:283-293 Authors: Yousefi M, Krzyżak A, Suen CY

Article GUID: 29665537


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