121 citations · 338 across the 25 of their papers we have counts for
4 papers · 1 filter
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology
Adriana Borowa, Dawid Rymarczyk, Dorota Ochońska +2
In this work, we analyze if it is possible to distinguish between different clones of the same bacteria species (Klebsiella pneumoniae) based only on microscopic images. It is a ch…
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
Dawid Rymarczyk, Łukasz Struski, Jacek Tabor +1
In this paper, we introduce ProtoPShare, a self-explained method that incorporates the paradigm of prototypical parts to explain its predictions. The main novelty of the ProtoPShar…
Deep learning approach to describe and classify fungi microscopic images
Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk +2
Preliminary diagnosis of fungal infections can rely on microscopic examination. However, in many cases, it does not allow unambiguous identification of the species by microbiologis…
Kernel Self-Attention in Deep Multiple Instance Learning
Dawid Rymarczyk, Adriana Borowa, Jacek Tabor +1
Not all supervised learning problems are described by a pair of a fixed-size input tensor and a label. In some cases, especially in medical image analysis, a label corresponds to a…