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Classifying bacteria clones using attention-based deep multiple instance
  learning interpreted by persistence homology
v1v2 (latest)

Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology

IEEE International Joint Conference on Neural Network (IJCNN), 2020
2 December 2020
Adriana Borowa
Dawid Rymarczyk
D. Ochonska
M. Brzychczy-Wloch
Bartosz Zieliñski
ArXiv (abs)PDFHTML

Papers citing "Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology"

2 / 2 papers shown
AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients
AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients
Agnieszka Sroka-Oleksiak
Adam Pardyl
Dawid Rymarczyk
Aldona Olechowska-Jarząb
Katarzyna Biegun-Drożdż
...
Tomasz Gosiewski
Miłosz Adamczyk
Henryk Telega
Bartosz Zieliñski
Monika Brzychczy-Włoch
205
1
0
17 Mar 2025
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained
  Microscopic Images from DIBaS Dataset
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS DatasetIEEE International Conference on Circuits and Systems for Communications (ICCSC), 2022
C. P
Pullagurla Abhijith Reddy
Vidyashree R. Kanabur
Deepu Vijayasenan
S. S.
S. Govindan
106
7
0
23 Aug 2022
1
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