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Multiple Instance Ensembling For Paranasal Anomaly Classification In The
  Maxillary Sinus

Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus

31 March 2023
Debayan Bhattacharya
F. Behrendt
B. Becker
Dirk Beyersdorff
E. Petersen
M. Petersen
B. Cheng
D. Eggert
C. Betz
A. Hoffmann
Alexander Schlaefer
ArXivPDFHTML

Papers citing "Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus"

2 / 2 papers shown
Title
Self-supervised learning for classifying paranasal anomalies in the
  maxillary sinus
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
Debayan Bhattacharya
F. Behrendt
B. Becker
Lennart Maack
Dirk Beyersdorff
...
B. Cheng
D. Eggert
C. Betz
A. Hoffmann
Alexander Schlaefer
SSL
33
0
0
29 Apr 2024
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
351
36,437
0
25 Aug 2016
1