6 citations · 9 across the 7 of their papers we have counts for
9 papers
Deep meta-learning for the selection of accurate ultrasound based breast mass classifier
Michal Byra, Piotr Karwat, Ivan Ryzhankow +6
Standard classification methods based on handcrafted morphological and texture features have achieved good performance in breast mass differentiation in ultrasound (US). In compari…
Estimating the ultrasound attenuation coefficient using convolutional neural networks -- a feasibility study
Piotr Jarosik, Michal Byra, Marcin Lewandowski +1
Attenuation coefficient (AC) is a fundamental measure of tissue acoustical properties, which can be used in medical diagnostics. In this work, we investigate the feasibility of usi…
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method
Michal Byra, Grzegorz Styczynski, Cezary Szmigielski +6
Convolutional neural networks (CNNs) have achieved remarkable success in medical image analysis tasks. In ultrasound (US) imaging, CNNs have been applied to object classification,…
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
Michal Byra, Piotr Jarosik, Katarzyna Dobruch-Sobczak +4
We propose a novel deep learning based approach to breast mass segmentation in ultrasound (US) imaging. In comparison to commonly applied segmentation methods, which use US images,…
Breast mass classification in ultrasound based on Kendall's shape manifold
Michal Byra, Michael Andre
Morphological features play an important role in breast mass classification in sonography. While benign breast masses tend to have a well-defined ellipsoidal contour, shape of mali…
Quantitative Ultrasound and B-mode Image Texture Features Correlate with Collagen and Myelin Content in Human Ulnar Nerve Fascicles
Michal Byra, Lidi Wan, Jonathan Wong +4
We investigate the usefulness of quantitative ultrasound (QUS) and B-mode texture features for characterization of ulnar nerve fascicles. Ultrasound data were acquired from cadaver…