31 citations · 37 across the 3 of their papers we have counts for
3 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…
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,…
Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter
Hanna Piotrzkowska-Wróblewska, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda +4
Monitoring Neoadjuvant chemotherapy (NAC) effects is necessary to capture resistant patients and stop or change treatment. The aim of this study was to assess the tumor response at…