47 citations · 47 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 47 cited
Towards Evaluating Explanations of Vision Transformers for Medical Imaging
Piotr Komorowski, Hubert Baniecki, Przemysław Biecek
As deep learning models increasingly find applications in critical domains such as medical imaging, the need for transparent and trustworthy decision-making becomes paramount. Many…
eess.IV2022
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…