121 citations · 243 across the 4 of their papers we have counts for
4 papers
AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients
Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk +10
Sepsis is a life-threatening condition which requires rapid diagnosis and treatment. Traditional microbiological methods are time-consuming and expensive. In response to these chal…
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…
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…
Deep learning approach to description and classification of fungi microscopic images
Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk +2
Diagnosis of fungal infections can rely on microscopic examination, however, in many cases, it does not allow unambiguous identification of the species due to their visual similari…