7 citations · 19 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
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,…