7 citations · 14 across the 4 of their papers we have counts for
4 papers
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,…
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning
Michal Byra, Tomasz Sznajder, Danijel Korzinek +4
Deep learning algorithms, especially convolutional neural networks, have become a methodology of choice in medical image analysis. However, recent studies in computer vision show t…
Added value of morphological features to breast lesion diagnosis in ultrasound
Michał Byra, Katarzyna Dobruch-Sobczak, Hanna Piotrzkowska-Wróblewska +1
Ultrasound imaging plays an important role in breast lesion differentiation. However, diagnostic accuracy depends on ultrasonographer experience. Various computer aided diagnosis s…